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WO2024251691A1 - Procédé de fourniture d'un produit capillaire - Google Patents

Procédé de fourniture d'un produit capillaire Download PDF

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Publication number
WO2024251691A1
WO2024251691A1 PCT/EP2024/065253 EP2024065253W WO2024251691A1 WO 2024251691 A1 WO2024251691 A1 WO 2024251691A1 EP 2024065253 W EP2024065253 W EP 2024065253W WO 2024251691 A1 WO2024251691 A1 WO 2024251691A1
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WO
WIPO (PCT)
Prior art keywords
hair
formulation
control data
property
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/EP2024/065253
Other languages
English (en)
Inventor
Sascha HOECHE
Juergen Falkowski
Christina Kohlmann
Christopher NEARY
Jessica ARTIOLI CENTURIAO
Christian Huber
Robert Parker
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BASF SE
Original Assignee
BASF SE
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by BASF SE filed Critical BASF SE
Publication of WO2024251691A1 publication Critical patent/WO2024251691A1/fr
Anticipated expiration legal-status Critical
Pending legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A46—BRUSHWARE
    • A46B—BRUSHES
    • A46B11/00—Brushes with reservoir or other means for applying substances, e.g. paints, pastes, water
    • A46B11/001—Brushes with reservoir or other means for applying substances, e.g. paints, pastes, water with integral reservoirs
    • A46B11/0062—Brushes where the reservoir is specifically intended for being refilled when empty
    • A—HUMAN NECESSITIES
    • A46—BRUSHWARE
    • A46B—BRUSHES
    • A46B15/00—Other brushes; Brushes with additional arrangements
    • A46B15/0002—Arrangements for enhancing monitoring or controlling the brushing process
    • A46B15/0004—Arrangements for enhancing monitoring or controlling the brushing process with a controlling means
    • A46B15/0006—Arrangements for enhancing monitoring or controlling the brushing process with a controlling means with a controlling brush technique device, e.g. stroke movement measuring device
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0048—Detecting, measuring or recording by applying mechanical forces or stimuli
    • A61B5/0051—Detecting, measuring or recording by applying mechanical forces or stimuli by applying vibrations
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/448—Hair evaluation, e.g. for hair disorder diagnosis
    • A—HUMAN NECESSITIES
    • A45—HAND OR TRAVELLING ARTICLES
    • A45D—HAIRDRESSING OR SHAVING EQUIPMENT; EQUIPMENT FOR COSMETICS OR COSMETIC TREATMENTS, e.g. FOR MANICURING OR PEDICURING
    • A45D44/00—Other cosmetic or toiletry articles, e.g. for hairdressers' rooms
    • A45D2044/007—Devices for determining the condition of hair or skin or for selecting the appropriate cosmetic or hair treatment
    • A—HUMAN NECESSITIES
    • A46—BRUSHWARE
    • A46B—BRUSHES
    • A46B2200/00—Brushes characterized by their functions, uses or applications
    • A46B2200/10—For human or animal care
    • A46B2200/104—Hair brush
    • A—HUMAN NECESSITIES
    • A46—BRUSHWARE
    • A46B—BRUSHES
    • A46B9/00—Arrangements of the bristles in the brush body
    • A46B9/02—Position or arrangement of bristles in relation to surface of the brush body, e.g. inclined, in rows, in groups
    • A46B9/023—Position or arrangement of bristles in relation to surface of the brush body, e.g. inclined, in rows, in groups arranged like in hair brushes, e.g. hair treatment, dyeing, streaking

Definitions

  • Personalized hair treatment is an emerging field including the determination of conditions to be treated or the providing of treatment according to user's needs.
  • US2020221854A1 discloses systems including a sensor for determining an item of hair condition information for a user.
  • EP3668375A1 discloses a system for determining a hair condition.
  • EP3681335A2 discloses a system with a reservoir that can hold, for example, components of shampoos, conditioners, deep conditioners or hair dyes.
  • EP3692490A1 discloses a method for computer-assisted determination of a cosmetic product.
  • EP3794611 A1 discloses a processing unit that determines the surface properties of the hair based on the optical characteristics or images of hair.
  • a method for generating formulation control data for providing or producing a hair product for treating one or more hair condition(s), the method comprising: providing a vibration signal measured by a hairbrush including bristles connected to one or more vibration sensor(s), detecting at least one hair property associated with the hair brushed by analyzing the vibration signal, generating formulation control data by deriving one or more formulation component(s) from the at least one detected hair property associated with the hair brushed, providing the formulation control data usable to provide or produce the hair product containing the one or more formulation component(s) to be used e.g. for treating one or more hair condition(s).
  • an apparatus for generating formulation control data for providing or producing a hair product for treating one or more hair condition(s) comprising: a hairbrush interface configured to provide a vibration signal measured by the hairbrush including bristles connected to one or more vibration sensor(s), a detector configured to detect at least one hair property associated with the hair brushed by analyzing the vibration signal, a generator configured to generate formulation control data by deriving one or more formulation component(s) from the at least one detected hair property associated with the hair brushed, a control data providing interface configured to provide the formulation control data usable to provide or produce the hair product containing the one or more formulation component(s) to be used e.g. for treating one or more hair condition(s).
  • a method for monitoring one or more hair condition(s) comprising: providing at least one current vibration signal measured by a hairbrush including bristles connected to one or more vibration sensor(s) after treatment by the hair product provided based on the formulation control data generated according to the method(s) or apparatus(es) disclosed herein, providing at least one historical hair property detected in one or more historical vibration signal(s), wherein at least one historical vibration signal was used to generate formulation control data according to the method(s) or apparatus(es) disclosed herein, detecting at least one current hair property associated the hair brushed from the at least one current vibration signal, generating a difference between the at least one current hair property associated with the hair brushed from the current vibration signal and the at least one historical hair property determined from the one or more historical vibration signal (s), providing the generated difference for at least one current hair property associated with the hair brushed.
  • an apparatus for monitoring one or more hair condition(s) comprising: a hairbrush interface configured to provide at least one current vibration signal measured by a hairbrush including bristles connected to one or more vibration sensor(s) after treatment by the hair product provided based on the formulation control data generated according to the method(s) or apparatus(es) disclosed herein, a historical data interface configured to provide at least one historical hair property detected in one or more historical vibration signal(s), wherein at least one historical vibration signal was used to generate formulation control data according to the method(s) or apparatus(es) disclosed herein, a detector configured to detect at least one current hair property associated with the hair brushed from the at least one current vibration signal, a generator configured to generate a difference between the at least one current hair property associated with the hair brushed from the current vibration signal and the at least one historical hair property determined from the one or more historical vibration signal (s), an output interface configured to provide the generated difference for at least one current hair property associated with the hair brushed.
  • a hairbrush interface configured to provide at least one current vibration signal measured by
  • a method for producing a hair product for treating one or more hair condition(s) comprising: providing formulation control data for producing the hair product as disclosed herein, producing the hair product according to the formulation control data.
  • an apparatus for producing a hair product for treating one or more hair condition(s) comprising: a providing interface configured to provide formulation control data for producing the hair product as disclosed herein, a production apparatus configured to produce the hair product according to the formulation control data.
  • a system for producing a hair product comprising an apparatus for generating formulation control data as disclosed herein and an apparatus for producing a hair product for treating hair conditions as disclosed herein, wherein the apparatus may be configured to mix formulation components.
  • formulation control data to produce a hair product for treating one or more hair condition(s).
  • a hair product for treating one or more hair condition(s) provided or produced based on or by using the formulation control data as generated according to the methods or by the apparatuses or systems disclosed herein.
  • a computer element such as a computer readable storage medium, a computer program or a computer program product, comprising instructions, which when executed by a computing node or a computing system, direct the computing node or computing system to provide ingredients data associated with formulation components to provide or produce the hair product, wherein the ingredients data is used to generate control data according to the computer-implemented methods or by the apparatuses disclosed herein.
  • a system including: a computer element, such as a computer readable storage medium, a computer program or a computer program product, comprising instructions, which when executed by a computing node or a computing system, direct the computing node or computing system to generate formulation control data as disclosed herein and/or configured to provide ingredients data associated with formulation components usable to provide or produce the hair product, wherein the ingredients data is used to generate control data according to the computer-implemented methods or the apparatuses disclosed herein, and one or more capsule(s) each including one or more formulation component(s) usable to produce the hair product based on the ingredients data, wherein the capsule(s) may be configured to be inserted into or placed in one or more apparatus(es) for producing the hair product.
  • a computer element such as a computer readable storage medium, a computer program or a computer program product, comprising instructions, which when executed by a computing node or a computing system, direct the computing node or computing system to generate formulation control data as disclosed herein and/or configured to provide ingredients data associated
  • a computer element such as a computer readable storage medium, a computer program or a computer program product, comprising instructions, which when executed by a computing node or a computing system, direct the computing node or computing system to carry out the steps of the computer-implemented methods disclosed herein or to provide the formulation control data generated according to the computer-implemented methods disclosed herein.
  • Determining, generating includes initiating or causing to determine, generate.
  • Providing includes “initiating or causing to access, determine, generate, send or receive”.
  • "Initiating or causing to perform an action” includes any processing signal that triggers a computing node to perform the respective action.
  • the methods, the systems, apparatuses, hair products, formulation control data and/or the computer elements disclosed herein enable personalized hair products tailored to the user's need.
  • the composition of the hair product can be derived from hair diagnostics of the smart hairbrush with vibration sensors. This allows to tailor the hair product itself e.g. by tailoring the active ingredients to be added to a base formulation. For example, the base formulation or the active ingredients making-up the hair product can be adjusted depending on the hair property. This way hair can be treated in a more targeted manner.
  • the more efficient use of resources potentially combined with the use of natural material results in a positive environmental impact.
  • the granularity of formulation components for generating control data allows for more tailoring of personalized hair products, if they are produced in a personalized manner.
  • the generation of control data for producing the hair product based on formulation components allows for a higher degree of flexibility and scalability with a higher degree of customization.
  • the hair product may include any type of product suitable to treat hair.
  • the hair product may include a care and/or styling product suitable to treat hair.
  • the hair product for examples includes a shampoo, a conditioner, a deep conditioner, a hair mask, a hair serum, a hair spray, a hair styling product, a hair mist, a hair color product and/or a hair dye.
  • Formulation component(s) may include any ingredient(s) used to produce the hair product or contained in the hair product.
  • the formulation component may include a base formulation or an active ingredient.
  • the formulation components may make up the formulation of the hair product.
  • the formulation component may include a base formulation to which one or more active ingredient(s) are to be added or are included according to the generated formulation control data.
  • the base formulation may include one or more formulation ingredients.
  • the formulation component may include one or more active ingredient(s) to be added to or included in the base formulation according to the formulation control data.
  • the formulation components may relate to different sets of active ingredient(s), which may be comprised in the base formulation.
  • the formulation component may relate to at least first active ingredient(s) included in base formulation.
  • the formulation component may relate to at least second active ingredient(s) included in base formulation.
  • the formulation components may be compatible to be added together according to the formulation control data.
  • the base formulation may include one or more formulation ingredients.
  • the base formulation may refer to an ingredient combination suitable to be mixed with or including one or more active ingredient(s).
  • the formulation ingredient, formulation component or active ingredient may be any cosmetically acceptable ingredient. These ingredients are known to the person skilled in the art and can be found in several publications, e. g. in the latest edition of the "International Cosmetic Ingredient Dictionary and Handbook” published by the Personal Care Products Council. Another well-known source of cosmetically acceptable ingredients is the cometic ingredient database Cosing. Cosing can be accessed via the internet pages of the European Commission.
  • the at least one active ingredient includes at least one of the following active ingredients: oils such as almond oil or butters like shea butter, alcohols such as cetearyl alcohol, cetyl alcohol, stearyl alcohol, isopropyl alcohol, benzyl alcohol, alcohol denat or combinations thereof, tensides such as ammonium lauryl sulfate, sodium lauryl sulfate, sodium laureth sulfate, sodium myreth sulfate, sodium lauryl sulfoacetate, cocamidopropyl betaine, disodium cocoamphodiacetate disodium laureth sulfosuccinate, sodium coco sulfate or sodium C14-16 olefin sulfonate, glucosides such as lauryl glucoside, coco glucoside, decyl glucoside, disodium cocoyl glutamate, laurdi- monium hydroxypropyl hydrolyzed wheat protein, lauryl gluco
  • the active ingredient may refer to an ingredient suitable to treat the hair condition detectable or detected via the vibration signal measured or associated with the hair condition detectable or detected via the vibration signal.
  • the active ingredient allows to treat the hair condition and the methods disclosed herein allow for targeted use of active ingredients. By providing base formulation and/or active ingredients as formulation components, the hair formulation can be tailored to user's need.
  • the sensor may be configured to measure bristle vibrations when brushing the hair.
  • the sensor may be configured to convert changes the bristles are exposed to into an electrical signal.
  • the vibration sensor may include a sensor configured for acceleration measurement, such as a piezo-electric, piezo-resistive, resistive and/or conductive sensor.
  • the vibration sensor may include a piezo based vibration sensor.
  • the vibration signal may relate to movement of the bristles during a stroke.
  • the vibration signal may include at least one segment signified by the start of the stroke and the end of the stroke.
  • the vibration signal may include a measurement signal suitable to derive one or more hair properties.
  • the measurement signal may be the signal segment between start and/or end stroke signal signature. For detecting the hair property, extrema below or above a threshold may be canceled.
  • This may include start and/or end stroke detection.
  • Start and/or end stroke may be cancelled by modifying the signal aptitude or by removing.
  • Signal signatures relating to extrema above or below a threshold may be cancelled by modifying the signal aptitude or by removing.
  • the number of strokes may be determined.
  • the hair property may be determined from the processed signal after start stroke, end stroke and/or extrema cancellation.
  • the hair property may be determined from the processed signal by analyzing the processed signal, e.g. by determining a standard deviation, inverse derivative score or similar scores signifying the variation of the signal.
  • the hair property may be determined from more than one processed signal by analyzing the processed signals, e.g. by determining a standard deviation, inverse derivative score or similar score signifying the variation of the signal.
  • the scores may be aggregated for more than one stroke.
  • the hair property may relate to the condition of the hair detectable via the vibration signal.
  • the hair property may be derived from the vibrational signal of the hair brushed.
  • the hair property may relate to or include one or more hair conditions derivable from the vibrational signal of the hair brushed.
  • the hair conditions may be pre-defined.
  • the hair condition may relate to externally detectable hair conditions, in particular to hair conditions detectable on brushing of the hair, more particular to hair conditions exposing bristles of the hairbrush to mechanical changes such as acceleration, strain, force changes on brushing of the hair.
  • the hair condition may relate to hair properties. Hair conditions may include dryness, damage or breakage, fattiness, thickness, thinness, frizziness, dullness, suppleness, softness, smoothness, shininess or any combinations thereof.
  • Hair properties may include a level of dryness, damage or breakage, fattiness, thickness, thinness, frizziness, dullness, suppleness, softness, smoothness, shininess or any combinations thereof.
  • Detecting the hair property may include generating a score related to at least one hair condition.
  • Detecting the hair property may include generating a score related to a degree or level the at least one hair condition is present for the brushed hair.
  • detecting the at least one hair property includes generating a score related to at least one hair condition.
  • Generating formulation control data may include determining one or more formulation component(s) based on the hair condition and/or the score.
  • Detecting the hair property may include generating a score related to a degree or level the at least one hair condition is present.
  • the formulation component(s) may be determined or selected from ingredients data based on the hair condition and/or the respective score.
  • An amount or a quantity of respective formulation component(s) may be determined based on the score related to the respective hair condition.
  • the amount or quantity may be a relative or absolute amount provided by the hair product or for producing the hair product.
  • the amount or quantity may relate to a weight percentage or the relative amount of formulation component.
  • the score may relate to the degree or level the hair condition is present. For instance, frizzy hair may be assigned a higher score than smooth hair or hair resulting in higher standard deviation of the vibrational signal may be result in a higher score than lower standard deviations.
  • the hair property includes a score related to the at least one hair condition.
  • the score may be derivable or derived from the vibrational signal. Generating a score allows for more tailored assessment of the hair condition. Based on the score the formulation components and/or their respective amount may be determined. By determining the score, the hair formulation(s) forming the hair product may be further tailored.
  • the difference between scores associated with the hair condition may be used.
  • the score associated with the hair condition may be determined from at least one current vibrational signal and at least one historical vibrational signal. This way a current score and a historical score may be determined. The difference of the current and the historical score may indicate an evolvement of the hair condition. This way the effectiveness of the treatment may be tracked e.g. by a user.
  • generating formulation control data includes determining a difference between at least one current hair property and at least one historical hair property and determining one or more formulation component(s) to be used based on the determined difference.
  • Generating formulation control data may include determining a difference between at least one current hair property and at least one historical hair property and providing the at least one current hair property, the at least one historical hair property and/or the difference between at least one current hair property and at least one historical hair property to the user.
  • Generating formulation control data may include determining a difference between at least one current hair property and at least one historical hair property and determining one or more formulation component(s) based on the determined difference between at least one current hair property and at least one historical hair property. This way the hair product may be adapted depending on the effectiveness of the treatment.
  • the at least one current hair property may be detected from the current vibrational signal as disclosed herein.
  • the at least one historical hair property may be detected from historical vibration signals as disclosed herein.
  • the current vibration signal may be the vibration captured and processed for the hair brushed.
  • the historical vibration signal may be a signal retrieved from a data base storing signals of prior hair property detections for hair brushed, preferably including control data generations. Monitoring allows for more targeted treatment over time.
  • detecting the at least one hair property includes at least one personalized calibration parameter or user-specific calibration parameter.
  • the personalized or user-specific calibration parameter may be determined for the hair brushed from at least one calibration stroke. The determination of the personalized or user-specific calibration parameter may be based on further sensors of the hairbrush such as velocity or rotation sensor.
  • the calibration stroke may include determining stroke properties, such as stroke velocity or stroke angel e.g. as determined by further sensors integrated into the hairbrush.
  • the stroke properties may be mapped to the personalized calibration parameter for detecting the at least one hair property from the vibration signal, e.g. the processed vibration signal.
  • thresholds for extrema reduction may be adapted
  • the score type may be adapted
  • the score levels may be adapted
  • the start-end-stroke detection may be adapted.
  • Via the calibration parameter user-specific brushing characteristics may be taken into account thus enhancing the hair property detection and the control data generation for treating the brushed hair.
  • analyzing the vibration signal includes determining one or more signal segment(s) associated with one or more stroke(s) and determining the at least one hair property from the signal segment(s).
  • the signal segments may include a stroke start signature, a stroke end signature and/or a stroke measurement segment. By detecting the stroke start signature and stroke end signature the stroke measurement segment and the hair property may be determined. This way the vibration signal and particular the measurement segment from multiple strokes may be used to enhance hair property detection.
  • the formulation component relates to at least one base formulation and/or at least one active ingredient.
  • the formulation control data may be generated by selecting one or more formulation component(s) in relation to the determined hair property.
  • the formulation control data may be generated by selecting at least one product comprising one or more formulation component(s) selected in relation to the determined hair property.
  • the formulation control data may specify at least one formulation of the hair product.
  • the formulation control data may specify one or more formulation component(s) making up or contained in the formulation of the hair product, particularly at least one base formulation and/or at least one active ingredient.
  • the formulation control data may specify at least one quantity, such as an amount of the formulation component.
  • the formulation control data may specify at least one component of the formulation.
  • the formulation control data may specify at least one active ingredient of the formulation.
  • the formulation control data may specify at least one component of the hair formulation.
  • the formulation control data may specify at least one base formulation of the formulation.
  • the formulation control data may be derived from the hair condition and/or the score for the respective hair condition.
  • the formulation control data, particularly related to the formulation components) and/or associated quantities, may be derived from the hair condition and/or the score for the respective hair condition.
  • the formulation control data is usable to produce the hair product containing the one or more formulation component(s), wherein the one or more formulation component(s) to be used for producing the hair product are derived from the at least one hair property.
  • ingredients data relating to one or more formulation component(s) usable to produce the hair product and/or respective capsule(s) containing formulation component(s) usable to produce the hair product are provided.
  • the ingredients data may relate the at least one hair property to respective formulation component(s) and/or respective capsule(s).
  • the formulation control data may be generated based on the ingredients data by selecting one or more formulation component(s) and/or respective capsule(s) based on the at least one hair property.
  • ingredients data relates to laboratory measurement data signifying the compatibility of one or more formulation component(s), wherein the formulation control data is generated based on the ingredients data by selecting one or more formulation component(s) based on their compatibility.
  • the ingredients data associated with formulation components usable to produce the hair product may be provided.
  • the ingredients data may relate the at least one hair property, particularly the hair condition(s) and/or associated scores, to respective formulation components).
  • the ingredients data may relate to capsule(s) containing formulation component(s) useable, e.g. to be mixed, to produce the hair product.
  • One capsule type may contain one formulation component.
  • One capsule type may contain one base formulation.
  • One capsule type may contain one or more active ingredient(s).
  • One capsule type may contain one or more active ingredient(s) and a base formulation.
  • the ingredients data may relate to different formulation component(s) or respective capsule type(s) or capsule(s) containing formulation component(s) usable to produce the hair product.
  • the ingredients data may relate to different formulation component(s) contained in different capsule(s) or capsule type(s).
  • the ingredients data may relate to laboratory measurement data signifying the compatibility of one or more formulation component(s) e.g. contained in different capsules or capsule types. This way the ingredients data may signify the compatibility of formulation component(s) or capsule(s).
  • the ingredients data may relate to different formulation component(s) contained in capsules and laboratory measurement data signifying the compatibility of the different formulation component(s) with each other.
  • Compatibility may relate to the homogenization behavior, mixing behavior or application behavior of different formulation component(s) contained in different capsules, e.g. when combined. Compatibility may relate to the homogenization behavior, mixing behavior or application behavior of at least one formulation component contained in one capsule and at least one other formulation component contained in another capsule.
  • the formulation control data may be generated based on the ingredients data by selecting one or more formulation component(s), capsule type(s) or capsule(s) based on the at least one hair property, such as the hair condition and/or related scores.
  • the formulation control data may be generated based on the ingredients data by selecting one or more formulation component(s), capsule type(s) or capsule(s) based on their compatibility and/or hair property, such as hair condition and/or score.
  • generating formulation control data includes determination of capsules containing different formulation component(s).
  • the formulation control data may be determined from the detected hair property, particularly the hair condition and/or respective scores,
  • the hair product may be produced from the one or more formulation component(s) contained in the capsules.
  • the hair product may be produced from more than one capsule(s), wherein each capsule contains at least one different formulation component.
  • the hair product may be produced from at least one capsule containing the base formulation and at least one capsule containing at least one active ingredient.
  • the hair property is generated by a data driven model, wherein the data-driven model is trained on a historical dataset including vibration signals, hair properties, scores and/or characteristics of the hair brushed to provide at least hair properties and/or scores.
  • the hair characteristics may include user data such as user's age, length of the hair, hair state like virgin or colored, hair type like brown thick hair or blonde thin hair.
  • the data-driven model may be trained to receive at least a portion of the vibration signal and, in response to receipt of at least the portion of the vibration signal to output at least one or more hair properties and/or scores associated with the hair to be brushed.
  • the data-driven model may be trained based on vibration signal including measurement segment of one or more strokes and associated hair properties and/or scores.
  • the data-driven model may be trained based on processed vibration signal including measurement segment of one or more strokes and excluding extrema such as stroke start and end signatures.
  • the historical dataset may include historical vibration signals annotated by determined hair properties, scores and/or characteristics of the hair brushed.
  • the data-driven model may be trained based on scores.
  • the historical dataset may include historical scores of vibration signals annotated by determined hair properties and/or characteristics of the hair brushed.
  • the historical dataset may include historical vibration signals and/or derived scores collected under lab conditions and/or as determined for other users. Such data may be annotated by determined hair properties, if applicable scores and/or characteristics of the hair brushed. This way hair properties determined e.g. under lab conditions or for other users may be made available to the hair property detection allowing for more reliable hair property detection and more nuanced control data generation.
  • the formulation control data is generated by a data driven model, wherein the data-driven model is trained on a historical dataset including vibration signals, hair properties, scores, characteristics of the hair brushed and/or formulation component(s) to be used to provide at least formulations component(s).
  • the historical dataset may additionally or alternatively include differences signifying treatment effectiveness.
  • the data-driven model may be trained to receive at least a portion of the vibration signal and, in response to receipt of at least the portion of the vibration signal to output at least formulation component(s) to be used for the hair brushed.
  • the data-driven model may be trained to receive at least a portion of the vibration signal, characteristics of the hair brushed and/or differences determined for treatment effectiveness, and, in response to receipt of at least the portion of the vibration signal, characteristics of the hair brushed and/or differences determined for treatment effectiveness to output one or more formulation component(s) to be used for treatment of the hair brushed.
  • the data-driven model may be trained based on vibration signals including measurement segment of one or more strokes and associated hair properties and/or scores.
  • the historical dataset may include historical vibration signals annotated by determined hair properties, scores, characteristics of the hair brushed, formulation component(s) to be used and/or differences determined for treatment effectiveness.
  • the formulation component relates to a base formulation and/or an active ingredient.
  • At least one base formulation and at least one active ingredient or at least first active ingredient(s) and second active ingredi- ent(s) to be used for providing or producing the hair product may be derived from the at least one hair property associated with the brushed hair.
  • a combination of at least one base formulation and one or more active ingredient(s) to be used for providing or producing the hair product or of at least first active ingredient(s) and second active ingredi- ent(s) to be used for providing or producing the hair product may be derived from the at least one hair property, such as the hair condition and/or score.
  • At least one base formulation and/or at least one active ingredient may be derived from the at least one hair property associated with the hair brushed. Depending on at least one active ingredient derived from the at least one hair property at least one base formulation may be selected.
  • the generation of formulation control data may include providing data related to the user and deriving/generating formulation control data based on data related to the user, such as hair characteristics including hair length, hair state like virgin or colored, and/or hair type like brown thick hair or blonde thin hair, location, time or user specific data.
  • Data related to the user may include weather data or sun exposure data associated with the user's location, pollution exposure data associated with the user's location, the user's age, the user's treatment plan or combinations thereof.
  • Sun exposure or weather data may be used for the generation of formulation control data, e.g. UV filters may be selected as active ingredient.
  • Pollution exposure data may be used for the generation of formulation control data, e.g.
  • polymers shielding the hair such as natural cationic proteins or antioxidants, may be selected as active ingredient.
  • the user's age may be used for the generation of formulation control data e.g. active ingredients suitable to treat hair for the specific age may be selected as active ingredient.
  • the user's treatment plan may be derived from historic monitoring of the user's hair condition. The effectiveness of the treatment may be determined from such monitoring data and used for generating formulation control data, e.g. an active ingredient is changed based on the monitoring signifying the ineffectiveness of the prior used active ingredient.
  • the user's treatment plan may be derived from the time the vibration signal is captured or the formulation control data is generated and used for generating formulation control data, e.g.
  • UV filters may be selected as active ingredient or at night time oils may be selected as base formulation.
  • Hair characteristics including user's age, hair length, hair state, and/or hair type may be used for the generation of formulation control data, e.g. by including data related to the user into the formulation component selection, e.g. by the ingredients data.
  • the formulation control data may specify the active ingredient(s) associated with the hair property, such as the hair condition and/or the score related to the respective hair condition.
  • the formulation data may specify the quantity of active ingredient(s) associated with the hair property, such as the hair condition and the score.
  • the quantity of active ingredient may relate to the weight percentage of active ingredient or the relative amount of active ingredient.
  • the formulation data, particularly the active ingredient(s) and associated quantities, may be derived from the hair property, such as the hair condition and the score.
  • the active ingredients may be pre-defined.
  • the ingredients data may specify one or more active ingredients per hair property, such as hair condition and/or score. For generation of the formulation control data, one or more active ingredient(s) may be selected from ingredients data based on the hair property, such as hair condition and/or score.
  • the ingredients data may specify one or more base formulation(s) per hair property, such as hair condition and/or score, per active ingredient.
  • one or more base formulation(s) may be selected from ingredients data based on the hair property, such as hair condition and/or score, the sub-area and/or the active ingredient(s).
  • the formulation control data may specify the base formulation ingredient(s) associated with the hair property, such as the hair condition and the score.
  • the formulation control data may specify the quantity of ingredient(s) for the base formulation associated with the hair property, such as the hair condition and/or the score.
  • the formulation control data, particularly the ingredient(s) for the base formulation and associated quantities, may be derived from the hair property, such as the hair condition and the score.
  • the production of the hair product includes mixing the formulation components specified via the formulation control data.
  • the formulation control data may specify at least two capsules with different formulation components, such as a first capsule containing the base formulation and at least one second capsule containing active ingredient(s) or such as a first capsule containing first active ingredient(s) and at least one second capsule containing at least second active ingredient(s).
  • the at least two capsules with different formulation components may be provided to a mixing unit.
  • the content of the capsules may be mixed to provide the hair product, such as a shampoo or conditioner containing active ingredients.
  • the mixing device may include at least one dosing nozzle for releasing at least one base formulation and/or at least one active ingredient.
  • the mixing device may include a mixing unit for mixing at least one base formulation and at least one active ingredient.
  • Fig. 1 illustrates schematically an example system for measuring hair property by way of a hairbrush through brushing the hair of a subject
  • Fig. 2 illustrates schematically an example of processing vibration signals.
  • Figs. 3a to 5c show experimental results of determining a hair property utilizing the system for assessing hair property.
  • Fig. 6 illustrates schematically an example of a flow chart for detecting at least one hair property from the vibrational signal and generating formulation control data.
  • Fig. 7 illustrates schematically an example of a mixing device for mixing a hair product to be applied to the brushed hair.
  • Fig. 1 illustrates schematically an example system 100 for measuring hair property by way of a hairbrush through brushing the hair of a subject.
  • the system 100 comprises a hairbrush 110 for brushing hair of a subject and an apparatus 120 for assessing the hair property of the hair being brushed.
  • the apparatus 120 may be in communicative contact to or integrated as part of a hardware and/or software into a computational user device 130, like a smartphone.
  • the apparatus 120 may be a standalone device specifically usable for determining the hair property.
  • the apparatus 120 may be integrated into the hairbrush 110, for instance, into a handle of the hairbrush 110.
  • the hairbrush 110 may include any brush comprising a hairbrush body 115 and a plurality of bristles 111 attached to the hairbrush body 115.
  • the bristles 111 may be attached to a flexible part 116 of the hairbrush body 111 or may be directly attached to the hairbrush 110.
  • the bristles 111 may include metal or synthetic bristles attached to the hairbrush body 111 .
  • the bristles 111 are attached via a bristle support structure, here realized as a flexible part 116, e.g. flexible membrane, to the main body 115 of the hair-brush 110.
  • the hairbrush 110 may comprise one or more vibration sensors 112 integrated into the hairbrush 110.
  • two vibration sensors 112 are integrated into the hairbrush 110.
  • Different configurations may be realized such as one sensor may be integrated into the hairbrush 110 or more than two sensors may be integrated into the hairbrush 110.
  • the vibration sensors 112 may be integrated into the hairbrush 110 by attaching the vibration sensors to one or more bristle(s) 111 of the hairbrush 110.
  • An adhesive 113 for adhering the vibration sensors 112 to the bristles 111 in particular a silicone-based adhesive, may be utilized.
  • other methods for adhering or attaching the vibration sensors to one or more of the bristles 111 can be utilized that allow the vibration sensors 112 to measure the vibrations of the bristles 111.
  • the utilized adhesive 113 allows a vibration sensor 112 to measure the vibrations of one or more bristle(s) 111, in particular, more than one bristle 111 connected to the vibration sensor 112 via the adhesive 113.
  • the vibration sensor 112 may be associated with one or more bristle(s) 111. Integrating the one or more vibration sensors 112 such that each vibration sensor 112 can measure the vibrations of one bristle 111 allows for a suitable accuracy for determining a hair property. Arranging the vibration sensor 112 such that it can measure the vibrations of more than one bristle(s) 111 allows to measure a more accurate vibration signal and allows to reduce exceptional outliers and other abnormalities in the vibration measurement signal.
  • the vibration sensors 112 may include any kind of sensor that allows to measure vibrations of the bristles 111, e.g. that allows to provide a measurement signal that is indicative of the back-and-forth movements of the bristles 111 during a brushing stroke through the hair of a subject.
  • the vibration sensors 112 may include acceleration sensors that measure an acceleration in the vibration movement of the bristles 111.
  • the vibration sensors 112 may include velocity sensors that measure a velocity of the bristles 111 during the brushing of the hair or position sensors that measure a position or a change in position of the bristles 111.
  • the hairbrush 110 may further comprise a velocity sensor 117 and/or a rotation sensor 118.
  • the velocity sensor 117 may be integrated into the hairbrush 110 such that it can measure an overall velocity of the hairbrush 110 during the brushing.
  • the rotation sensor 118 may be integrated into the hairbrush 110 such that it can measure an overall rotation, such as a degree of rotation of the hairbrush 110.
  • the sensors mentioned above, such as the vibration sensors 112, the velocity sensor 117 and the rotation sensor 118, can be adapted to either measure an absolute value of the respective measurement quantity or a relative value and thus a change of the respective measurement quantity. Further sensors like an acoustic sensor, an image sensor, a humidity sensor, and/or a force sensor can additionally or alternatively be integrated into the hairbrush 110.
  • the one or more sensor(s) may be communicatively coupled to the apparatus 120 as indicated by the wireless communication signals 114 and 123.
  • the communicative coupling between the sensors 112, 117, 118 and the apparatus 120 may depend on the respective realization of the apparatus 120. For example, if the apparatus 120 is integrated into a handle of the hairbrush 110, the communicative coupling can be provided by respective signal cables. If the apparatus 120 is realized as a standalone device, or is part of a computational device of a user, the communicative coupling may be realized in form of wireless communication signals utilizing any known wireless communication technique.
  • a dedicated communication unit not shown in Fig. 1, may be provided as part of the hairbrush 110 to which the sensors are communicatively coupled, for instance, utilizing communication signal wires, wherein the communication unit is then adapted to forward the measurement signals of the sensors to the apparatus 120 via the known wireless communication technique.
  • the apparatus 120 may comprise a vibration measurement providing unit 121 and a hair property determination unit 122.
  • the vibration measurement providing unit 121 may be adapted to provide the vibration signals that are indicative of the result of the vibration measurements performed by the one or more vibration sensors 112.
  • the vibration measurement providing unit 121 may be adapted as a receiving unit for directly receiving the vibration signals measured by the vibration sensors 112 and for providing the received vibration signals.
  • the vibration signals measured by the vibration sensors 112 may be provided to a storage unit, for instance, to a cloud storage, wherein in this case the vibration measurement providing unit 121 may be adapted to access the respective storage unit and to provide the stored vibration signals to the hair property determination unit 122.
  • the vibration signal may be indicative of the vibrations of the bristles 111 of the hairbrush 110 during the brushing of the hair of a subject.
  • the hair property determination unit 122 may be adapted to determine one or more hair properties based on the respective vibration signals.
  • the vibration signals of the bristles 111 of a hairbrush 110 may be suitable to determine a plurality of hair properties, for instance, a type of the hair, how the hair was treated in the past, and, in particular, a quality of the hair, i.e. whether and to which degree the hair has been damaged.
  • the hair property determination unit 122 may be adapted to analyze the vibration signal associated with the respective hair properties. For example, a standard deviation from an average signal value or a span width of a second integration or inverse derivative of the vibration signal may be correlated with hair property, such as a hair quality and subtleness of the hair.
  • the hair property determination unit 122 may utilize the results of the velocity measurement provided by the velocity sensor 117 and the results of the rotation measurement provided by the rotation sensor 118 for determining one or more hair properties.
  • these additional signals may be utilized for further increasing an accuracy of the determination of the hair property. For example, based on the velocity signal provided by the velocity sensor 117, the beginnings and endings of hair strokes may be determined, and the velocity of the different hair strokes may be compared. This allows to utilize, for instance, only vibration signals coming from brushing strokes performed with the velocity of the hairbrush 110 in a predetermined range. Accordingly, it can be avoided to compare brushing strokes performed with strongly deviating velocities which might lead to respective strongly deviating vibrations of the bristles of the hairbrush.
  • the angle between the hairbrush and the hair with which the brushing is performed can have an influence on the respective vibration of the bristles.
  • the signals of other sensor(s) may be utilized by the hair property determination unit 122 to improve the measurements of the hair property, for example, by utilizing predetermined rules on how and when to combine the respective signals for determining the hair property.
  • the result of the hair property determination can then be provided to a user device 130 and can be displayed, for instance, on display 131.
  • the result may include a hair quality score and may be presented on the display 131 of the user device 130, for instance, by utilizing a respective app on the user device 130.
  • the result can also be provided to a user in other forms, for instance, via a light or a small display provided as part of the hairbrush 110 or via an audio signal like a beep or a voice to a loudspeaker that can be provided to the user device 130 or can also be provided to the hairbrush 110.
  • information to the user like a result, can also be provided to a user via a loading and/or base station of the hairbrush.
  • Fig. 2 illustrates an example of processing vibration signals.
  • the top graph illustrates an example of the raw data vibration signal.
  • the raw data includes multiple strokes.
  • the strokes are signified by the start and end signatures per stroke.
  • Th start and end signatures show a high amplitude owing to the force acting on the bristles on the start and end of each stroke.
  • the segment between the start and end signature is the measurement signal, from which the hair property may be determined.
  • the bottom graph illustrates one stroke with start signature, end signature and measurement segment.
  • the amplitude extrema are reduced by cutting the amplitude at a high and low threshold or by removing respective data points.
  • the start and end amplitudes are detected and cut back to the threshold.
  • outliers in the measurement segment may be removed.
  • the standard deviation may be determined as one possible indicator for score.
  • the standard deviation may be determined per stroke.
  • the standard deviations per stroke may be aggregated e.g. as mean standard deviation.
  • the standard deviation is only one example and other analysis indicators for scoring hair conditions may be determined.
  • the indicator for scoring may be mapped to the hair property in the sense of a level or range signifying a level or range related to the hair condition.
  • the high standard deviation may signify a suppleness level and based on such level formulation control data including formulation components may be provided.
  • Figs. 3a to 5c example determinations of the hair property with the hairbrush 110 will be described in more detail utilizing the hairbrush 110 as described for example in the context of Fig. 1.
  • the hairbrush used on the following examples includes piezo electric element(s) as vibration sensor(s) attached to the bottom side of the hairbrush membrane with the silicone adhesive.
  • Figs. 3a and b the differentiation of good and bad quality hair is illustrated.
  • the good and bad quality hair may me defined by the vibration spectrum associated with damaged hair.
  • the hair property is in this example the hair quality, which can be assessed based on the vibration spectrum and scores such as ADC value determined from the vibration spectrum.
  • Fig. 3a shows that the standard deviations of the ADC vibration signals for good and bad hair can be classified based on the vibration signals.
  • the Fig. 3a shows that the average values of the ADC signals are comparable, but that a differentiation of the two different hair qualities is possible by the deviation of the standard deviations of the signal values from the average into good and bad.
  • Fig. 3b shows that by connecting a plurality of bristles to the vibration sensor the possible differentiation of good and bad hair quality can be increased up to 300%. Thus, the accuracy of a hair quality determination can be increased.
  • Fig. 4a and b differently damaged Caucasian hair were evaluated utilizing the hairbrush 110 as described for example in the context of Fig. 1.
  • the vibrational sensor signal was translated into an acceleration and the acceleration signals of the vibrational sensor were recorded over time.
  • the displacement can be determined.
  • the hair property in this example is the degree of damage of hair and the related score is the second integration signifying the level of damage.
  • Fig. 4a shows the result of the second integration of the vibration signal for undamaged hair and Fig. 4b for damaged hair, in this case in particular bleached hair.
  • the second integration of the acceleration signal results in displacement values, shown on the right of the Figs. 4a and 4b that can then be further evaluated for determining the hair quality or other properties.
  • the span width of the maximum and minimum values of the second integration signal can be determined.
  • the second integrated signal from medium-bleached hair can be more distinct than a second integrated signal from the untreated, i.e. virgin, hair.
  • Figure 4c shows the significantly different mean values of the span width of five virgin hair strands and of five medium-bleached hair strands both evaluated after the second integration.
  • mannequin heads had been washed with 3 different shampoos from a drugstore. The three mannequin heads were washed twice with different shampoos A, B, C and dried overnight. Suppleness using Caucasian hair strands had been evaluated by measuring residual dry combing work before the shampoos were applied. Figs. 5a-c show the result. The lower the values of the residual dry combing work, the easier the dry combing and the better the smoothness and softness of the hair strands.
  • the hair property is the level of suppleness of the hair, which is signified by the second integration or second inverse derivative of the signal as score.
  • Each mannequin head associated with a different shampoo was combed with a hairbrush as described above.
  • the hairbrush was used manually with 3 combing strokes at 10 repetitions.
  • a suppleness of the hair was measured.
  • a dry hair strand of the mannequin was pulled through a displacement configuration, e.g. a number of rings alternatingly spaced apart, and the force necessary for pulling the hair strand through the displacement was measured. The measured force is then indicative of the suppleness of the hair stand, in particular, the lower the pulling force the higher the suppleness.
  • FIG. 5B show mean span width values after second integration of the acceleration signals, calculated as described above, in relation to a measured suppleness for the three different shampoos.
  • Fig 5A shows for the same experimental setup the calculated mean span width values after second integration of the acceleration signals in relation to residual dry combing work values for the three shampoos.
  • hair strands of the respective mannequin heads can be combed with a predefined configuration of combs that are oppositely arranged and the force can then be measured that is needed for pulling the hair strand through the comb arrangement. From the force the dry combing work can then be derived.
  • Fig. 5C shows for all three shampoos the relation between the suppleness and the residual dry combing work values. Figs.
  • 5A, 5B and 5C show that the characteristics of the vibration signal, here the span width of the second integrated vibration signal, allow for an accurate differentiation between hair with different properties, here different suppleness or dry combing work values. Moreover, since the different hair properties are caused by different shampoos, the utilization of the vibration signal for determining the hair properties allows even to determine the influence of hair care products on the hair of a user.
  • vibration signals of bristles determined utilizing the hairbrush as described above allow for an accurate determination of a hair property, in particular, of a hair quality, damage level or suppleness.
  • vibration signals provided by respectively integrated vibration sensors in the hairbrush are suitable to differentiate between differently damaged hair and different hair treatments which makes it an easy way to use the device for hairdressers and consumers for helping with the selection of respective hair care products for an individual user.
  • the "smart” hairbrush utilizes one or more vibration sensor(s) to analyze different hair properties, in particular, hair qualities, while brushing.
  • the evaluation becomes possible by providing "smart” devices, i.e.
  • a hairbrush for hair property analysis using vibration sensor(s) can be advantageously utilized for hair property analysis.
  • a vibration sensor can be utilized that is adapted to detect vibration from 10 Hz to 15 kHz through a piezo ceramic material base sensor with vibration signal amplification circuit integration.
  • Such a hairbrush together with the respective apparatus, as described in the examples above, can be easily used during daily hair treatment without additional hair expertise.
  • Fig. 6 illustrates schematically an example of a flow chart for detecting at least one hair property from the vibrational signal and generating formulation control data.
  • the hairbrush 110 described above may be used in connection with a mobile hair application.
  • the application in particular the analysis of the signal may be calibrated.
  • the user may register with the mobile hair application.
  • the user may calibrate the analysis of the vibration signal from the hairbrush 110. This may depend for example on the user's pattern of brushing the hair.
  • Vibration signal from one or more calibration strokes may be provided e.g. to the hairbrush interface of the mobile application the hairbrush 110 is communicatively connected to.
  • the vibration signal may be analyzed as for example described in the context of Fig. 2.
  • the signal may be processed to remove the start and end stroke signature and to extract the measurement segment.
  • the thresholds for extrema reduction or cancellation may be adapted to the user specific signal. Scores such as standard deviation or second inverse derivative and their mapping to the thresholds for the hair condition may be determined to enable detecting of the hair property.
  • further sensors such as rotation and/lor velocity sensors signifying user specific brushing properties may be used.
  • the user specific calibration parameters may be stored in association with the user profile, such as a user ID provided on registration.
  • the vibration signal as measured by the hairbrush 110 may be provided to the hairbrush interface e.g. of the mobile application.
  • the calibration parameters or calibrated parameters stored on calibration may be provided.
  • the personalized calibration parameters may be determined for the hair brushed from at least one calibration stroke.
  • the calibration stroke may include determining stroke properties, such as the user's personalized profile to brush hair.
  • the calibration parameter or calibrated parameters may be used for detecting the at least one hair property from the vibration signal as described above.
  • Determining the at least one hair property may include mapping the determined score to thresholds for the hair condition to determine a level or range the score lies in for the hair condition providing the hair property.
  • the score such as the standard deviation or second inverse derivative, may indicate the suppleness of the hair or the level of damage of the hair.
  • the hair property may be generated by mapping the vibrational signal by a data driven model to the hair property.
  • the data-driven model may be trained on a historical dataset including vibration signals, hair properties, scores, and/or characteristics of the hair brushed.
  • the data-driven model may be trained on measured vibration signals and respective hair properties.
  • the data-driven model may be trained on measured vibration signals, respective hair properties and characteristics influencing the hair, such as hair characteristics like length, exposure of the hair to environmental influences such as sun or pollution, hair state such as virgin or bleached, origin, used hair products or age.
  • the vibrational signal may be fed to the data-driven model and the data-driven model may provide the hair property, e.g. the hair condition and the respective score.
  • the vibration signal may be processed to determine the score and the score may be fed to the data driven model to provide the hair property.
  • the data driven model may be trained on respective historical data sets.
  • the historical dataset may include historical vibration signals annotated by determined hair properties, scores and/or characteristics of the hair brushed.
  • the historical dataset may include historical scores derived from vibration signals annotated by determined hair properties, and/or characteristics of the hair brushed.
  • the historical dataset may include historical vibration signals or scores collected under lab conditions and/or as determined for other users. Such data may be annotated by determined hair properties, and/or characteristics of the hair brushed. This way hair properties determined e.g. under lab conditions or for other users may be made available to the hair property detection allowing for more reliable hair property detection and more nuanced control data generation.
  • the hair characteristics may include user data such as user's age, length of the hair, hair state like virgin or colored, hair type like brown thick hair or blonde thin hair.
  • the data-driven model may be based on a regression model.
  • the data-driven model may be based on a neural network structure including at least one encoder and at least one decoder.
  • the data-driven model may be based on a convolutional neural network structure and/or a recurrent neural network structure.
  • the formulation control data may be generated by deriving one or more formulation component(s) from the at least one detected hair property associated with the hair brushed.
  • the formulation component may relate to at least one base formulation and/or at least one active ingredient.
  • Generating formulation control data may include determining one or more formulation component(s) based on the hair condition and the associated score.
  • the formulation control data may be generated by selecting one or more formulation component(s) in relation to the determined hair property, wherein the formulation control data is generated by selecting at least one product comprising one or more formulation component(s) selected in relation to the determined hair property.
  • Generating formulation control data may include mapping the formulation component(s) to pre-set product(s) or product formulation component(s) containing the formulation component(s).
  • the pre-set products(s) may be provided including the used formulation component(s) for selection.
  • ingredients data relating to one or more formulation component(s) may be provided.
  • Ingredients data may relate to laboratory measurement data signifying the compatibility of one or more formulation component(s).
  • the formulation control data may be generated based on the ingredients data by selecting one or more formulation components) based on their compatibility. If a product is to be produced, the formulation component(s) usable to produce the hair product and/or respective capsule(s) containing formulation component(s) usable to produce the hair product may be provided.
  • the ingredients data may relate the at least one hair property to respective formulation component(s) and/or respective capsule(s).
  • the formulation control data may be generated based on the ingredients data by selecting one or more formulation component(s) and/or respective capsule(s) based on the at least one hair property.
  • Generating formulation control data may include determining a difference between at least one current hair property and at least one historical hair property and providing the at least one current hair property, the at least one historical hair property and/or the difference between at least one current hair property and at least one historical hair property to the user.
  • the formulation control data may be generated by a data driven model.
  • the data-driven model may be trained on a historical dataset including vibration signals, scores, hair properties, characteristics of the hair brushed, differences determined for evaluating treatment effectiveness and/or formulation component(s) to be used or ingredients data.
  • the data-driven model may be trained on a historical dataset including vibration signals, hair properties, scores, characteristics of the hair brushed differences determined for evaluating treatment effectiveness, and/or formulation component(s) to be used.
  • the vibrational signal may be fed to the data-driven model and the data-driven model may provide the formulation component(s) to be used.
  • the processed vibrational signal or scores may be fed to the data- driven model and the data-driven model may provide the formulation component(s) to be used.
  • the data-driven model may further provide the hair property, e.g. the hair condition and the respective score.
  • the determined formulation component(s) may be mapped to pre-set product(s) or product formulation component(s) containing the formulation component(s).
  • the pre-set products(s) may be provided based on the output of the data-driven model.
  • the hair property detection and formulation control data can be enhanced to increase the likelihood of successful hair treatment.
  • the data-driven model may be based on a regression model.
  • the data-driven model may be based on a neural network structure including at least one encoder and at least one decoder.
  • the data-driven model may be based on a convolutional neural network structure and/or a recurrent neural network structure.
  • Generating formulation control data may include determining a difference between at least one current hair property and at least one historical hair property and determining one or more formulation component(s) to be used based on the determined difference. This may allow for monitoring the hair property.
  • the formulation control data usable to provide the hair product containing the one or more formulation component(s) to be used may be provided.
  • the formulation control data may be usable to produce the hair product containing the one or more formulation component(s).
  • the one or more formulation component(s) to be used for producing the hair product may be derived from the vibration signal or the at least one detected hair property.
  • Fig. 7 illustrates schematically an example of a mixing device for mixing a customized hair product to be applied to the brushed hair.
  • the formulation control data may be generated as described in the context of Fig. 6.
  • the formulation control data may include formulation mixing data.
  • the formulation control data may relate to ingredients to be used and the amount or quantity of ingredients to be used for producing the hair product.
  • the formulation control data may be provided to the mixing device 202.
  • Deriving formulation control data may include determination of capsules containing different formulation component(s).
  • the formulation control data may be provided to select capsules for mixing, that contain the respective formulation components.
  • the hair product may be produced from the one or more formulation component(s) contained in the capsules.
  • the hair product may be produced from more than one capsule(s), wherein each capsule contains a different formulation component.
  • the hair product may be produced from at least one capsule containing the base formulation and at least one capsule containing at least one active ingredient.
  • the capsules may be placed in the ingredients tank of the mixing machine.
  • the formulation control data may be provided to the ingredients tank control to control release of ingredients for mixing.
  • Based on the formulation control data the hair product 200 with the tailored formulation may be produced and provided.
  • the formulation may be applied to the hair of the user reflected in the vibration signal.
  • any steps presented herein can be performed in any order.
  • the methods disclosed herein are not limited to a specific order of these steps. It is also not required that the different steps are performed at a certain place or in a certain computing node of a distributed system, i.e. each of the steps may be performed at different computing nodes using different equipment/data processing.
  • ..determining also includes ..initiating or causing to determine
  • generating also includes ..initiating and/or causing to generate
  • provisioning also includes “initiating or causing to determine, generate, select, send and/or receive”.
  • “Initiating or causing to perform an action” includes any processing signal that triggers a computing node or device to perform the respective action.

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Abstract

L'invention concerne des procédés, des appareils, des systèmes et un procédé de génération de données de commande de formulation pour produire un produit capillaire pour traiter des affections capillaires. L'invention concerne en outre des produits capillaires et des formulations capillaires produits sur la base des données de commande de formulation générées.
PCT/EP2024/065253 2023-06-07 2024-06-04 Procédé de fourniture d'un produit capillaire Pending WO2024251691A1 (fr)

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