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WO2025043356A1 - Système et procédé de surveillance d'une pluralité d'individus dans une zone désignée - Google Patents

Système et procédé de surveillance d'une pluralité d'individus dans une zone désignée Download PDF

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Publication number
WO2025043356A1
WO2025043356A1 PCT/CA2024/051138 CA2024051138W WO2025043356A1 WO 2025043356 A1 WO2025043356 A1 WO 2025043356A1 CA 2024051138 W CA2024051138 W CA 2024051138W WO 2025043356 A1 WO2025043356 A1 WO 2025043356A1
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WIPO (PCT)
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discernable
digital
contactless sensor
contactless
sensor signals
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English (en)
Inventor
Miodrag Bolic
Zixiong HAN
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University of Ottawa
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University of Ottawa
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    • G—PHYSICS
    • G04—HOROLOGY
    • G04G—ELECTRONIC TIME-PIECES
    • G04G21/00—Input or output devices integrated in time-pieces
    • G04G21/02—Detectors of external physical values, e.g. temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A61B5/0507—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves using microwaves or terahertz waves
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Measuring devices for evaluating the respiratory organs
    • A61B5/0816—Measuring devices for examining respiratory frequency
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/04—Systems determining presence of a target
    • G—PHYSICS
    • G04—HOROLOGY
    • G04G—ELECTRONIC TIME-PIECES
    • G04G21/00—Input or output devices integrated in time-pieces
    • G04G21/02—Detectors of external physical values, e.g. temperature
    • G04G21/025—Detectors of external physical values, e.g. temperature for measuring physiological data
    • G—PHYSICS
    • G04—HOROLOGY
    • G04G—ELECTRONIC TIME-PIECES
    • G04G21/00—Input or output devices integrated in time-pieces
    • G04G21/04—Input or output devices integrated in time-pieces using radio waves
    • G—PHYSICS
    • G04—HOROLOGY
    • G04G—ELECTRONIC TIME-PIECES
    • G04G99/00—Subject matter not provided for in other groups of this subclass
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
    • G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438—Sensor means for detecting
    • G08B21/0469—Presence detectors to detect unsafe condition, e.g. infrared sensor, microphone
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/002—Monitoring the patient using a local or closed circuit, e.g. in a room or building
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438—Sensor means for detecting
    • G08B21/0446—Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438—Sensor means for detecting
    • G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing

Definitions

  • the present disclosure relates to monitoring systems, and, in particular, to a system and method for monitoring a plurality of individuals in a designated area.
  • a system for concurrently monitoring a plurality of registered individuals in a designated area comprising: a digital processor; a contactless sensor in operative communication with said digital processor and disposed within the designated area to concurrently monitor the plurality of registered individuals and output respectively discernable contactless sensor signals digitally representative of a current individually discernable time-variable state of each of the registered individuals; a respective wearable sensor to be worn by each corresponding one of the registered individuals to wirelessly output to said digital processor: a respective digital identity associated with the corresponding one of the registered individuals, and a respective wearable sensor signal digitally representative of said current individually discernable time-variable state of the corresponding one of the registered individuals; wherein said digital processor processes said respectively discernable contactless sensor signals and each said respective wearable sensor signal to automatically associate, given at least a digital synchronicity of each said current individually discernable time-variable state, a given discernable contactless sensor signal with a corresponding said respective wearable sensor signal and said respective digital identity associated there
  • the contactless sensor comprises a radar sensor.
  • the contactless sensor comprises at least one of a radar sensor, a Wi-Fi based system for contactless monitoring, a thermal camera, a depth camera or an RGB camera.
  • each said wearable sensor comprises a smart watch or a smart patch.
  • the current individually discernable time-variable state comprises a vital sign pattern.
  • the vital sign pattern comprises at least one of a breathing activity pattern or a breathing rate.
  • the vital sign pattern comprises at least one of a cardiac activity pattern or a heart rate.
  • the current individually discernable time-variable state comprises a discernable anatomical motion.
  • the discernable anatomical motion comprises at least one of a discernable activity or a motion pattern.
  • system further comprises a digital storage device operatively coupled to said digital processor and operable to digitally store, against each said respective digital identity, digital information automatically extracted from said respectively discernable contactless sensor signals and associated with each said respective digital identify by said digital processor given at least said digital synchronicity.
  • the digital storage device stores against at least some said respective digital identity, at least one of a breathing rate, a breathing pattern, a hear rate, a user activity, a user interaction, or a sleeping pattern.
  • the system further comprises a digital output operatively coupled to said digital processor, wherein said digital processor is operable to output an alert in respect of a given digital identity based on digital information automatically extracted from said respectively discernable contactless sensor signals and associated with said given digital identify by said digital processor given said digital synchronicity.
  • the digital processor automatically evaluates a digital similarity of a digitally synchronized current individually discernable time-variable state to confirm association of said respective digital identity with said corresponding one of said respectively discernable contactless sensor signals.
  • the digital similarity is automatically evaluated as a function of at least one of a Pearson correlation coefficient, a Concordance correlation coefficient or matched filtering.
  • the processor extracts health-related or behavioural information from said corresponding one of said respectively discernable contactless sensor signals and automatically associates said health-related or behavioural information with said respective digital identity.
  • a method for concurrently monitoring a plurality of registered individuals in a designated area comprising: acquiring, via a contactless sensor disposed within the designated area to concurrently monitor the plurality of registered individuals, respectively discernable contactless sensor signals digitally representative of a current individually discernable time-variable state of each of the registered individuals; concurrently acquiring, via a respective wearable sensor to be worn by each corresponding one of the registered individuals: a respective digital identity associated with the corresponding one of the registered individuals, and a respective wearable sensor signal digitally representative of said current individually discernable time-variable state of the corresponding one of the registered individuals; synchronously processing said respectively discernable contactless sensor signals and each said respective wearable sensor signal to automatically associate, given at least a digital synchronicity of each said current individually discernable timevariable state, a given discernable contactless sensor signal with a corresponding said respective wearable sensor signal and said respective digital identity associated therewith, thereby associating said respective digital identity with a
  • the vital sign pattern comprises at least one of a breathing activity pattern or a breathing rate.
  • the vital sign pattern comprises at least one of a cardiac activity pattern or a heart rate.
  • the current individually discernable time-variable state comprises a discernable anatomical motion.
  • the discernable anatomical motion comprises at least one of a discernable activity or a motion pattern.
  • the method further comprises digitally storing, against each said respective digital identity, digital information automatically extracted from said respectively discernable contactless sensor signals and associated with each said respective digital identify by said digital processor given at least said digital synchronicity.
  • the storing comprises storing against at least some said respective digital identity, at least one of a breathing rate, a breathing pattern, a hear rate, a user activity, a user interaction, or a sleeping pattern.
  • the method further comprises outputting an alert in respect of a given digital identity based on digital information automatically extracted from said respectively discernable contactless sensor signals and associated with said given digital identify by said digital processor given said digital synchronicity.
  • the method further comprises automatically evaluating a digital similarity of a digitally synchronized current individually discernable time-variable state to confirm association of said respective digital identity with said corresponding one of said respectively discernable contactless sensor signals.
  • the digital similarity is automatically evaluated as a function of at least one of a Pearson correlation coefficient, a Concordance correlation coefficient or matched filtering.
  • the method further comprises automatically extracting health-related or behavioural information from said corresponding one of said respectively discernable contactless sensor signals and automatically associating said health-related or behavioural information with said respective digital identity.
  • a non-transitory computer- readable medium comprising digital instructions stored therein to concurrently monitor a plurality of registered individuals in a designated area by: acquiring, via a contactless sensor disposed within the designated area to concurrently monitor the plurality of registered individuals, respectively discernable contactless sensor signals digitally representative of a current individually discernable time-variable state of each of the registered individuals; concurrently acquiring, via a respective wearable sensor to be worn by each corresponding one of the registered individuals: a respective digital identity associated with the corresponding one of the registered individuals, and a respective wearable sensor signal digitally representative of said current individually discernable time-variable state of the corresponding one of the registered individuals; and synchronously processing said respectively discernable contactless sensor signals and each said respective wearable sensor signal to automatically associate, given at least a digital synchronicity of each said current individually discernable time-variable state, a given discernable contactless sensor signal with a corresponding said respective wearable sensor signal and said respective digital identity associated therewith
  • Figure 1 is a high-level diagram of a system for monitoring a plurality of individuals in a designated area using a contactless sensor and respective wearable sensors, in accordance with one embodiment
  • Figure 2 is a diagram of an exemplary system for monitoring a plurality of individuals in a designated area using a contactless radar sensor and respective smartwatch wearable sensors, in accordance with one embodiment
  • Figure 3 is a high-level diagram of an illustrative data processing flow for acquiring and associating contactless and wearable sensor signals based on synchronization of a current individually discernable time-variable state, in accordance with one embodiment
  • Figure 4 is a more detailed flow diagram of illustrative processing steps for associating contactless and wearable sensor signals acquired using the system of Figure 2, in which the system relies on a breathing-related state to associate signals and user identity, in accordance with one embodiment;
  • Figure 5 is a more detailed flow diagram of illustrative processing steps for associating contactless and wearable sensor signals acquired using the system of Figure 2, in which the system relies on an anatomical motion-related state to associate signals and user identity, in accordance with one embodiment.
  • elements may be described as “configured to” perform one or more functions or “configured for” such functions.
  • an element that is configured to perform or configured for performing a function is enabled to perform the function, or is suitable for performing the function, or is adapted to perform the function, or is operable to perform the function, or is otherwise capable of performing the function.
  • Body-worn sensors can be found in the form of a wearable device, such as a smartwatch, or body-mounted devices such as a smart patch.
  • Body-worn sensors can be effective at monitoring, recording, and outputting data reflective of the wearer's heart rate, heart rate variability, sleeping patterns, exercise levels, and movements, for example. They can be used to track an individual’s motions, vital signs, and locations, providing valuable health, activity and motion insights.
  • These body-worn sensors provide personalized feedback and health parameters to the wearer based on the sensed vital signs, motions and activity levels, making them a useful tool for personal health monitoring and management.
  • body -worn sensors lack the capability to accurately place an individual within a space or monitor their activities relative to other individuals. This limitation is significant when understanding the interaction between multiple people is required, such as in crowded workplaces, public events, or assisted living facilities. Without the ability to monitor an individual's position and actions relative to others, body-worn sensors fall short in applications that require situational awareness and interaction tracking.
  • Another common form of sensor for monitoring human activities is the contactless infrastructure sensors. These sensors can be effective at monitoring individuals and their activities without the need for physical contact or interaction.
  • sensors which may include, but are not limited to, radar, WiFi detection, RGB cameras, depth cameras, and thermal cameras, can be used across various sectors, including private, commercial, and government domains.
  • advances in this technology have focused on breath rate estimation, fall detection, congestive heart failure detection based on breathing patterns and activity classification.
  • Algorithms exist to classify posture, activity, and estimate breathing rate and heart rate in very specific orientations or fixed ranges from the radar. Examples of industries that utilize these forms of contactless sensors include healthcare, assisted living facilities, workplace safety, public safety, correctional facilities, and child and infant monitoring.
  • these sensors provide a non-invasive means of tracking individuals, ensuring safety, and enhancing security. Their ability to continuously monitor and transmit real-time sensor data makes them effective in situations where ongoing individual tracking is important.
  • contactless sensors struggle to simultaneously track multiple individuals in a common space. This limitation becomes particularly evident in environments that require monitoring individuals relative to each other in a designated area. Additionally, contactless sensors lack robustness in signal association techniques required for recording the vital signs for multiple subjects. Current technologies struggle to differentiate and accurately monitor several people at once, leading to potentially incorrect sensor data, and gaps in safety and security. Enhancing these systems to support multi-individual tracking would significantly improve their utility, allowing for better management of group dynamics, individual health tracking, and more efficient emergency responses in scenarios involving multiple individuals.
  • a system that can concurrently monitor the activities, vital signs, and/or health parameters of multiple individuals, relative to each other, within the same space, but be particularly useful.
  • the systems and methods described herein provide, in accordance with different embodiments, provide different examples of a monitoring system for monitoring a plurality of individuals within a designated space.
  • the system 20 is generally operated to concurrently monitor a plurality of registered individuals in a designated area, denoted here as area 10.
  • the system 20 generally comprises a digital processor 15, and a contactless sensor 14 in operative communication therewith and disposed within the designated area 10 to concurrently monitor the plurality of registered individuals.
  • the contactless sensor such as a radar, Wi-Fi, RGB, depth camera, thermal camera or like sensor, is operable to concurrently monitor the individuals within the area 10, and output respectively discernable contactless sensor signals digitally representative of a current individually discernable time-variable state of each of the registered individuals.
  • time-variable attribute may be extracted and monitored in respect of each individual in the sensor’s sensing radius or field of view.
  • time-variable states may include, but are not limited to, physiological states such as those related to an individual’s vital sign(s) (respiration rate, heart rate, etc.), and/or anatomical motion statues such as body motions, gestures and/or movements.
  • the system further comprises a respective wearable sensor 11 to be worn by each corresponding one of the registered individuals to wirelessly output to the digital processor 15: a respective digital identity associated with the corresponding one of the registered individuals, and a respective wearable sensor signal digitally representative of the current individually discernable time-variable state of the corresponding one of the registered individuals.
  • the monitoring system may evaluate the vital sign signals of monitored individuals to identify and differentiate them.
  • Various embodiments may alternatively or additionally assess the motions and activities of the monitored individuals to achieve identification and differentiation.
  • such a monitoring system may further process the vital sign and motion signals to associate health parameters with the monitored individuals, further identifying and differentiating the individuals being monitored.
  • a monitoring system designed to observe the activities and vital signs of a plurality of individuals enables continuous monitoring within a designated space using multiple sensors.
  • signals from a contactless sensor are transmitted to a digital processor.
  • respective body -worn sensors worn by the monitored individuals transmit signals to the same digital processor.
  • the digital processor can be operated to remove clutter and identify vital signs and/or motions recorded from the monitored individuals.
  • the digital processor can then analyze the signals to identify correlations between the sensor data, for example, corresponding to a respective temporally synchronized and digitally distinguishable timevariable state each monitored individual.
  • this correlation can be measured based on a similarity metric, e.g. establishing a correlation threshold. When this threshold is exceeded, a correlation between the contactless sensor data and body-worn sensor data is established, and the correlating data can be assigned to the corresponding monitored individual, enabling the monitoring system to identify the individual based on their sensor signals and differentiate them from the plurality of individuals.
  • a similarity metric e.g. establishing a correlation threshold.
  • the contactless sensor which may be in the form of a radar, WIFI monitoring, thermal camera, depth camera, or a Red Green Blue (RGB) camera, is used to monitors a plurality of individuals within a designated area.
  • the sensor signals are transmitted back to the digital processor where they are processed to identify the vital signs, e.g. representative of breathing, and motions of the individuals being monitored, for example.
  • the vital signs e.g. representative of breathing, and motions of the individuals being monitored, for example.
  • the body-worn sensor which may be in the form of a smartwatch or smart patch, is worn by the same individuals being monitored by the contactless sensor.
  • various body-worn sensor signals which may include, but are not limited to photopl ethy smogram (PPG) signals
  • PPG photopl ethy smogram
  • the body worn sensor can monitor one or more of the wearer’s heart rate, heart rate variability, breathing and/or motions. These signals are transmitted back to the digital processor where they are further processed and compared against the contactless sensor signals for correlations in vital signs and/or motions.
  • the digital processor further processes the sensor signals to associate the monitored vital signs and motions with corresponding health parameters related to those characteristics. Utilizing a similarity metric and correlation threshold as previously described, for example, the digital processor identifies correlations between the monitored vital signs and motion characteristics, and the health parameter characteristics. If a correlation is detected, the health parameters are associated with the corresponding individual. The ongoing monitoring of these health parameters, and the collection of the associated data, can be used for medical purposes, for example, or other scenarios as will be appreciated by the skilled artisan.
  • the monitoring system employs a similarity metric and correlation threshold to link temporally synchronized signals and health parameters with the corresponding individuals being monitored.
  • the similarity metric utilizes either the Pearson Correlation Coefficient, a Concordance Correlation Coefficient or Matched Filtering to identify correlations among the processed sensor signals and health parameter data. Both correlation coefficients assess the degree of association between two variables. Specifically, these coefficients evaluate the relationship between the sensed vital signs, motion, and/or health parameters in relation to the sensed vital signs or motion.
  • the process for monitoring various individuals within a common space utilizes a contactless sensor in the form of radar 104 and body -worn sensors in the form of smartwatches worn by individuals 101 and 102.
  • the radar 104 monitors the individuals and transmits sensor data to a central digital processor 105, which has multiple processing blocks, and where the sensor readings are processed 107 to identify breathing characteristics and/or motions of the monitored individuals.
  • the body -worn sensors on individuals 101 and 102 record and wirelessly transmit sensor signals related to each individual's vital signs and/or activities via BluetoothTM 106, or the like, to the digital processor 105 through an antenna 112.
  • the digital processor processes the sensor signals from both the radar 104 and the smartwatch sensors to isolate and identify signals representative of the individuals' breathing and/or motions. Using the described correlation coefficient, in one example, the digital processor identifies correlations between the breathing and/or motion signals from the radar and the smartwatches. When a correlation is detected between the body-worn sensor and the contactless sensor, the digital processor 105 associates the sensed data with the respective individuals in the space 100. The digital processor 105 can further process the sensor signals to identify correlations between the sensed characteristics and health parameters corresponding to these characteristics 110, for example. The monitored characteristics and health parameters can then be stored in a database 111, or again used to output an alert in respect of a particular individual, as appropriate.
  • FIG. 3 in accordance with various embodiments, further describes the procedure for associating sensor data with a person’s identification and their health parameters.
  • a contactless sensor concurrently collects data from the individuals being monitored 200, while a body-worn sensor, in one example, uses photoplethysmography (PPG) and accelerometer signals to simultaneously collect data from the same monitored individuals 201.
  • PPG photoplethysmography
  • the raw data from the contactless sensor 200 is processed to estimate each individual’s breathing rate and detect activities 202.
  • PPG and accelerometer signals 201 from the wearable device are also processed to synchronously estimate the individual’s breathing rate estimation and detect activity 203.
  • the synchronized breathing rate estimations and activity information from 202 and 203 are compared using a correlation coefficient 204 to identify the monitored individual based on their monitored data.
  • the contactless sensor’s data 200, body -worn devices’ data 201, and correlation data 204 can be used to identify health parameters and vital signs corresponding to the monitored individuals.
  • the digital processor further processes the sensor signals to identify and output health parameters and vital signs corresponding to the breathing rate and activities detected from the monitored individuals 205.
  • Figure 4 schematically illustrates a procedure for collecting, processing, and correlating the signals associated with, in this example, a stationary subject 301, using a body -worn sensor, in the form of a smartwatch, and a contactless sensor, in the form of a radar 303.
  • a digital processor 304 receives and processes the data in three stages of processing. These stages include processing the contactless sensor data to extract breathing signal estimation 305, processing the body- worn sensor data to extract breathing signal estimation 306, and using a correlation coefficient to associate the extracted breathing signal estimations from both sensors to identify the monitored individual within a group of individuals 307.
  • a contactless sensor in the form of a radar 303 collects signals reflected from the stationary subject 301.
  • the signals are processed using the digital processor 304 to remove any clutter or unwanted data 308, used to identify the number of individuals and their locations within a space 309, classify the activities of each of the individuals 310, and finally, if the individuals are stationary, extract estimated breathing signals from each of the individuals 311.
  • a body -worn sensor in the form of a smartwatch carried on the individual 301, wirelessly transmits PPG signals 302 to the digital processor 304.
  • the digital processor extracts and processes the PPG signal 312, classifies the wearer’s activities 313, and, extracts the estimated breathing signals from the individual 314.
  • the breathing signals generated by the contactless sensor 315 and the body- worn sensor 316 are then processed to identify correlations between the data 307. Here, they are compared using a correlation coefficient 317, which identifies similarities between each of the breathing signals. If this process identifies a similarity above a given threshold, the signals are considered to be from the same individual. The signals are then associated to the corresponding individual.
  • Figure 5 schematically illustrates an exemplary procedure 418 for collecting, processing, and correlating signals associated with the movement of subject 401 using a body -worn sensor, specifically a smartwatch, and a contactless sensor, specifically radar 403.
  • a body -worn sensor specifically a smartwatch
  • a contactless sensor specifically radar 403.
  • This example and procedure adhere to the same steps described in Figure 4. However, instead of extracting breathing signals, the individual's motion signals are extracted and used to find correlations between sensors to identify the individual.
  • FIG. 5 schematically illustrates an exemplary procedure for collecting, processing, and correlating the signals associated with the moving subject 401 using a body-worn sensor, in the form of a smartwatch, and a contactless sensor, in the form of a radar 403.
  • a computational unit 404 receives and processes the data in three illustrative stages of processing. These stages include processing the contactless sensor data 405 to extract motion signals, processing the body-worn sensor data 406 to extract activity signal estimation of mobile individuals, and, using a correlation technique, associating the extracted motion and activity signals from both sensors 407 to identify the monitored individual within a group of individuals.
  • a contactless sensor in the form of a radar 403 collects signals reflected from the moving subject 401.
  • the signals are processed using the digital processor 404 to remove any clutter or unwanted data 408, and then used to identify the number of individuals and their locations within a space 409, classify the activities of each of the individual’s 410, and finally, extract motion signals from each of the individuals 411.
  • a body-worn sensor in the form of a smartwatch carried on the individual 401, wirelessly transmits accelerometer signals 402 to the digital processor 404.
  • the digital processor implements processing steps, including extracting and filtering the accelerometer signals 412, classifying the wearer’s activities 413, and, extracting estimated activity signals from the mobile individual 414.
  • the motion signals generated by the contactless sensor 415 and the activity signals generated by the body -worn sensor 416 are then processed to identify correlations between the data 407. Here, they are compared using a correlation coefficient 417, which identifies similarities between each of the activity signals. If this process identifies a similarity above a given threshold, the signals are associated to the corresponding individual.

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Abstract

Sont ici décrits divers modes de réalisation d'un système et d'un procédé de surveillance d'une pluralité d'individus enregistrés dans une zone désignée. Dans un mode de réalisation, le système comprend un processeur numérique ; un capteur sans contact pour surveiller simultanément la pluralité d'individus enregistrés et délivrer respectivement des signaux de capteur sans contact discernables représentant numériquement un état actuel individuellement discernable variable dans le temps de chacun des individus enregistrés ; et un capteur pouvant être porté respectif à porter par chaque individu correspondant des individus enregistrés pour délivrer sans fil une identité numérique respective, et un signal respectif de capteur pouvant être porté représentant numériquement l'état actuel individuellement discernable variable dans le temps de l'individu correspondant parmi les individus enregistrés.
PCT/CA2024/051138 2023-09-01 2024-08-30 Système et procédé de surveillance d'une pluralité d'individus dans une zone désignée Pending WO2025043356A1 (fr)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180292523A1 (en) * 2015-05-31 2018-10-11 Sens4Care Remote monitoring system of human activity
US20190332901A1 (en) * 2018-04-25 2019-10-31 Avigilon Corporation Sensor fusion for monitoring an object-of-interest in a region
US20210158056A1 (en) * 2019-11-22 2021-05-27 Institut National D'optique Mood-based risk assessment of individuals of a crowd in a public space
US20230157550A1 (en) * 2020-04-06 2023-05-25 Kratos Sre, Inc. Contactless vital sign monitoring of multiple subjects in real-time

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180292523A1 (en) * 2015-05-31 2018-10-11 Sens4Care Remote monitoring system of human activity
US20190332901A1 (en) * 2018-04-25 2019-10-31 Avigilon Corporation Sensor fusion for monitoring an object-of-interest in a region
US20210158056A1 (en) * 2019-11-22 2021-05-27 Institut National D'optique Mood-based risk assessment of individuals of a crowd in a public space
US20230157550A1 (en) * 2020-04-06 2023-05-25 Kratos Sre, Inc. Contactless vital sign monitoring of multiple subjects in real-time

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