EP2681722B1 - Procédé et système de détection de chute et de transmission d'une alarme - Google Patents
Procédé et système de détection de chute et de transmission d'une alarme Download PDFInfo
- Publication number
- EP2681722B1 EP2681722B1 EP12712975.7A EP12712975A EP2681722B1 EP 2681722 B1 EP2681722 B1 EP 2681722B1 EP 12712975 A EP12712975 A EP 12712975A EP 2681722 B1 EP2681722 B1 EP 2681722B1
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- alarm
- fall
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- room
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- 238000001514 detection method Methods 0.000 claims description 36
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Images
Classifications
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- 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
-
- 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
- G08B21/0476—Cameras to detect unsafe condition, e.g. video cameras
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19678—User interface
- G08B13/19686—Interfaces masking personal details for privacy, e.g. blurring faces, vehicle license plates
Definitions
- the claimed invention relates to a method and system for fall detection, detection of particular emergencies and transmission of an alarm in the home environment. More particularly, the invention relates to a method and system for fall detection by means of a passive optical sensor and passing a multi-level alarm in the form of alienated image data.
- Fall detection is also possible via sensors introduced into a floor or mats equipped with sensors, however, an implementation of such a system is very complicated and expensive.
- Another class of methods for fall detection and detection of special emergencies are optically based methods.
- a permanent optical monitoring of the person is performed as well as an optical fall detection / emergency detection, the classification using common classification algorithms such as Bayes classifiers, neural networks or principal component analysis of a recorded Event and triggers an alarm upon detection of a fall / distress and sends it to a higher-level instance.
- US20060145874A1 relates to an optically based method, wherein the image processing algorithms in particular determine the percentage of a person lying on the ground, the position of the person, as well as the size of the person. In addition, the speed and acceleration of a falling person is determined.
- US20030058341A1 relates to an optically based method, wherein an object is released from a scene, this is detected and analyzed. In doing so, certain properties of the object are analyzed on the basis of comparison values with specific events.
- event classification by means of geometric primitives is possible, as in Chia-Wen Lin, Zhi-Hong Ling, Yeng-Cheng Chang and Chung J. Kuo "Compressed-Domain Case Incident Detection for Intelligent Homecare", submitted to Journal of VLSI Signal Processing System for Signal, Image and Video Technology , described.
- US 20050146605 A1 relates to an optical monitoring method with geometric primitives and subsequent event analysis using event discriminators. In this case, depending on the detected event, an alarm can be triggered. Procedures that involve permanent video surveillance of a person, however, interfere with the personal rights of the person and can therefore lead to acceptance problems.
- the document WO 2007 139658 A2 is probably the closest prior art to the subject invention, and discloses a method of fall detection with alienation of image data for the purpose of privacy protection.
- a passive optical sensor such as a video or. Infrared camera monitors. Furthermore, an evaluation of the recorded images with respect to the detection of a fall or a special emergency situation, but the image data are initially transmitted only alienated to an authorized receiver triggering an alarm upon detection of a fall. In this way, the right to one's own image of the monitored person is preserved, since not permanently images of this person, but only alienated images are transmitted upon detection of a fall.
- a return channel is first activated, which serves to verify the detected situation.
- the supervised person is enabled to classify a triggered alarm as a false alarm.
- the alienation of the image data is preferably carried out by means of geometric primitives.
- geometric primitives For example, those present in a captured image Each replaced by one or more geometric primitives.
- each person present in the captured image is treated and displayed as at least one geometric primitive.
- the fall detection is determined on the basis of the geometric primitive or for each person.
- the authorized recipient may initiate further rescue measures, such as request rescue services or instruct medical personnel to take care of the fallen person.
- the essence of the invention lies in a method and system for detecting a particular emergency especially a fall detection, wherein initially alienated and possibly encrypted image data of this person and / or the room to an authorized during the permanent optical monitoring of a person only in emergency or fall detection Instance are triggered by triggering an alarm. Only after a return channel has been formed and if the monitored person fails to classify the alarm as a false alarm will an unaltered image of the situation or of the person be transmitted to an authorized entity.
- This method and system has the advantage that it does not restrict the physical freedom of action of a person to be monitored, for which the person is comfortable and the person's right to his own image as an outflow of the general personality rights and also inexpensive and easy to handle for medical personnel and / or relatives is.
- FIG. 1 shows an embodiment of the system.
- images of a person 118 to be monitored are permanently recorded by means of a number of optical sensors 11 which have individual camera sensors 11.1 to 11.n.
- the camera sensors 11.1 to 11.n can be arranged in a space to be monitored such that the person to be monitored is detected by at least one camera sensor at all times.
- the optical sensors 11 are connected to a server 13 via an interface 19.
- a logic 12 in which the algorithms for decomposing the images recorded by means of the sensors 11 into geometric primitives as well as algorithms for fall detection or for detecting a special emergency situation are implemented.
- an alienated image which by means of a device and method for encryption and authentication, which may include a firewall 15, via a TCP / IP interface 17 and the Internet 113 to an authorized circle of people 117 if necessary ., transmitted via a universal standard gateway 114, wherein the transmission can be wireless 115 or wired 116 bidirectional.
- an alarm is triggered which the monitored person 118 can invalidate (classify as a false alarm).
- a return channel is established via a data or telephone connection between the monitored room and the authorized receiver. If, after a certain period of time, an alarm is not classified as a false alarm, then an unaltered transmission of the picture or a sequence of pictures to the authorized group of people takes place.
- the wired 116 or wireless 115 transmission is also encrypted. Another possibility for forming a return channel is additional given by an acoustic device 14 and a sound card integrated into the system 18.
- the server 13 which is executed in this embodiment as a PC with additional logic, more sensors 112 or user menus 111 may be connected via the interface 19.
- the logic 12 in the embodiment of FIG. 1 includes the software for performing video image analysis, crash or emergency detection analysis and encryption, and data communication.
- FIG. 2 shows a further embodiment.
- the server 13 is of FIG. 1 executed as a so-called Healthbox 26, ie a device for monitoring the health of a person.
- the image processing and the data processing of all health sensors and the data encryption takes place in a Logic HealthBox 25, which is embedded in the Healthbox 26.
- the authentication and routing of the information takes place in an external HealthPlatform 27, which can be a system for monitoring a large number of persons.
- HealthBox 26 and HealthPlatform 27 are interconnected via the Internet 113.
- the forwarding of the alarm or the alienated and unrecognized in a further stage images is encrypted either wirelessly 115, for example.
- the logic HealthBox 25 in the embodiment of FIG. 2 instructs the software to perform the video image analysis, the fall detection analysis, the Data processing of all sensors, especially health sensors and encryption as well as data communication.
- FIG. 3 shows a third embodiment of the system.
- the optical sensors are in the form of a master 30 and a plurality of slaves 41, 42.
- the optical sensor operating as master 30 has a camera part 31, an internal interface 32, a smart camera logic 33 and an interface 34.
- the software and the associated evaluation unit which implements the algorithms for video analysis and emergency detection, are integrated in the SmartKamera logic 33 of the master optical sensor.
- the smart camera logic 33 is internally connected to the camera part 31 via the interface 32.
- the SmartKamera logic 33 is further connected via the interface 34 with the other operating as a slave optical sensors 41, 42 of the system and the interface 19 with the Healthbox 26.
- FIG. 1 and FIG. 2 Referenced As for the remaining elements and functionality of this embodiment, it will become apparent FIG. 1 and FIG. 2 Referenced.
- the smart camera logic 33 in the embodiment of FIG. 3 instructs the software to perform video image analysis and fall detection analysis.
- Logic HealthBox 35 has the remaining functions described in logic HealthBox 25 of the embodiment of FIG. 2 are included. This includes the software for the data processing of all sensors, in particular health sensors and the encryption as well as the data communication.
- the optical sensors are preferably to be placed in the room in such a way that optimum coverage of the space to be monitored, even in winding rooms, is achieved.
- a space area is to be covered by more than one optical sensor.
- an active energy management is implemented in this case, so that only optical sensors are in active mode that are currently required.
- optical sensors are designed such that they are robust to variable light conditions such as reflections and backlight.
- the fall detection algorithms are implemented in such a way that they can detect any types of crashes, such as collapse, heavy fall, and sustained fall. These types of crashes are well defined in advance and part of a library of activated fall detection algorithms ("patterns"). Emergencies are identified primarily by algorithms which evaluate the static state of a person relative to the surroundings of the home and, in particular, detect an abnormal static state.
- the recognition algorithms are implemented in such a way that they are robust with respect to other persons or animals in the room as well as with respect to the positions of the optical sensors and obscuring the person to be monitored by furniture and / or other persons or animals. Likewise, they are able to classify rapid movements of objects not as collapses.
- the recognition algorithms include methods of extracting a person from the background and vectorizing and decomposing the image of a person into geometric primitives and determining the location of them in space either in the server or in the optical sensor.
- Fall detection uses the dynamics of a fall. It analyzes how fast the position of these geometric primitives changes within a sequence of images.
- the image processing can be done centrally in a dedicated Healthbox and be connected to a computer cloud to minimize maintenance and to easily expand the evaluation patterns.
- the system is designed so that within a certain period all persons of an authorized group of persons are informed. This authorized group of persons only has access to personal data and status information about the person to be monitored.
- the system is designed in such a way that the authorized group of persons can be supplemented by additional persons or reduced by certain persons.
- the system will provide the authorized circle of people with the time of the fall, the place of the fall, a still image and possibly a video.
- the system displays at various places when video or video material leaves the room to be monitored.
- the recording of image or video data of the person to be monitored preferably takes place only for a period which is absolutely necessary for the functionality of the fall detection system.
- the security level of the telecommunication is preferably scalable, so that between different security levels of the system from weakly protected (low end security level) to strongly protected (high end security level) can be selected.
- the system may additionally contain suitable administration, billing, routing and customer administration functionalities on the platform.
- the system is preferably designed so that it can be easily maintained from the outside by a device for the automatic upgrade of firmware and drivers as well as the algorithms.
- the system is preferably designed to be scalable so that additional optical and non-optical sensors can be added or removed to the system to complement the performance and performance of the system.
- the overall system is designed in such a way that it visually and by design avoids any impression of surveillance and inconspicuously blends into the living ambience.
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- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Gerontology & Geriatric Medicine (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Psychiatry (AREA)
- Psychology (AREA)
- Social Psychology (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Alarm Systems (AREA)
Claims (9)
- Procédé pour la détection de situations d'urgence et de chutes, et la transmission d'une alarme, comprenant les étapes suivantes:a) surveillance d'un local au moyen d'au moins un capteur optique, tel qu'une caméra vidéo ou infrarouge,b) détection d'une situation d'urgence ou d'une chute d'une personne dans le local surveillé par évaluation des images enregistrées par le capteur optique,c) retouche des données d'image, etd) déclenchement d'une alarme et transmission à au moins un destinataire autorisé des données d'image retouchées si un cas d'urgence/une chute d'une personne sont détectés dans le local surveillé,e) activation d'un canal de retour au moyen duquel une communication de données/téléphonique est établie entre le local surveillé et le destinataire, l'alarme déclenchée pouvant le cas échéant être caractérisée comme une fausse alarme par le canal de retour,f) transmission non retouchée d'au moins une image fixe et/ou d'une séquence vidéo enregistrées par le capteur optique dans le local à surveiller audit au moins un destinataire, à l'issue d'un temps défini après déclenchement de l'alarme au cas où l'alarme n'est pas caractérisée comme une fausse alarme après formation du canal de retour.
- Procédé selon la revendication 1, où les données d'image sont retouchées en transformant au moins les personnes enregistrées dans le local surveillé en primitives géométriques, et où lesdites primitives géométriques sont transmises audit au moins un destinataire pendant la première phase de l'alarme.
- Procédé selon la revendication 1 ou la revendication 2, où d'autres données sous forme codées sont transmises audit au moins un destinataire simultanément aux données d'image retouchées, lesdites autres données comprenant au moins une image fixe et/ou une séquence vidéo d'un local surveillé, et les données codées ne pouvant préférentiellement être décodées et affichées qu'après confirmation de l'alarme par le destinataire.
- Procédé selon l'une des revendications 1 à 3, comprenant les autres étapes suivantes :sauvegarde des images et/ou d'une séquence vidéo d'une période définie avant et après la détection d'une chute dans une mémoire du capteur optique, et transmission des images et/ou de la séquence vidéo sauvegardées comme données d'image retouchées et/ou comme données codées à au moins un des destinataires.
- Procédé selon l'une des revendications 1 à 4, comprenant les autres étapes suivantes :transmission de l'alarme et d'informations complémentaires existantes à au moins un destinataire autorisé sélectionné en fonction de critères fixés dans des cercles de personnes compétentes et autorisées au cas par cas telles que personnes privées, services infirmiers et médecin d'urgence, au moyen d'une plate-forme de gestion et de transmission spécifiquement créée.
- Procédé selon l'une des revendications 1 à 5, comprenant les autres étapes suivantes :détection d'une situation d'urgence ou d'une chute d'une personne dans le local surveillé au moyen de capteurs non optiques, préférentiellement de capteurs d'accélération que la personne porte sur son corps et/ou au moyen de capteurs sur ou dans le plancher du local surveillé et/ou d'un dispositif d'alarme activable par une personne et/ou d'un dispositif acoustique.
- Procédé selon l'une des revendications 1 à 6, où une situation d'urgence statique est détectée en recourant à un appel d'urgence ou à l'évaluation de signaux acoustiques.
- Procédé selon l'une des revendications 1 à 7, comprenant les autres étapes suivantes :affichage si des données d'image retouchées et/ou des données codées ont été transmises et/ou mémorisation d'événements et préférentiellement protection d'ensemble de l'équipement contre un accès abusif à des données et informations.
- Système de détection d'une situation d'urgence particulière ou d'une chute et de transmission d'une alarme, comprenant :a. au moins un capteur optique, tel qu'une caméra vidéo ou infrarouge, pour la surveillance d'un local,b. un moyen de détection d'une situation d'urgence particulière ou d'une chute d'une personne dans le local surveillé et un moyen d'évaluation des images enregistrées par le capteur optique,c. un moyen de retouche des données d'image, etd. un moyen de déclenchement d'une alarme et de transmission à au moins un destinataire autorisé des données d'image retouchées si une chute d'une personne est détectée dans le local surveillé,e. un moyen d'activation d'un canal de retour au moyen duquel une communication de données/téléphonique est établie entre le local surveillé et le destinataire, l'alarme déclenchée pouvant le cas échéant être caractérisée comme une fausse alarme par le canal de retour,f) un moyen pour la transmission non retouchée d'au moins une image fixe et/ou une séquence vidéo enregistrées par le capteur optique dans le local à surveiller audit au moins un destinataire, à l'issue d'un temps défini après déclenchement de l'alarme au cas où l'alarme n'est pas caractérisée comme une fausse alarme après activation du canal de retour.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP12712975.7A EP2681722B1 (fr) | 2011-03-04 | 2012-02-29 | Procédé et système de détection de chute et de transmission d'une alarme |
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201161449131P | 2011-03-04 | 2011-03-04 | |
| EP11156968 | 2011-03-04 | ||
| PCT/EP2012/053443 WO2012119903A1 (fr) | 2011-03-04 | 2012-02-29 | Procédé et système de détection de chute et de transmission d'une alarme |
| EP12712975.7A EP2681722B1 (fr) | 2011-03-04 | 2012-02-29 | Procédé et système de détection de chute et de transmission d'une alarme |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP2681722A1 EP2681722A1 (fr) | 2014-01-08 |
| EP2681722B1 true EP2681722B1 (fr) | 2017-12-20 |
Family
ID=44455253
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP12712975.7A Active EP2681722B1 (fr) | 2011-03-04 | 2012-02-29 | Procédé et système de détection de chute et de transmission d'une alarme |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP2681722B1 (fr) |
| DK (1) | DK2681722T3 (fr) |
| WO (1) | WO2012119903A1 (fr) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014068480A2 (fr) * | 2012-10-29 | 2014-05-08 | Markus Schori | Système de sécurité à fonction d'appel de secours intégrée |
| BE1021528B1 (nl) | 2013-02-01 | 2015-12-08 | Familyeye Bvba | Valdetectiesysteem en werkwijze voor het detecteren van een val van een bewaakte persoon |
| CN107749143B (zh) * | 2017-10-30 | 2023-09-19 | 安徽工业大学 | 一种基于WiFi信号的穿墙室内人员跌倒探测系统及方法 |
| CN111753587B (zh) * | 2019-03-28 | 2023-09-29 | 杭州海康威视数字技术股份有限公司 | 一种倒地检测方法及装置 |
| CN111104932A (zh) * | 2020-02-03 | 2020-05-05 | 北京都是科技有限公司 | 一种摔倒检测系统、方法及图像处理器 |
| CN114067436B (zh) * | 2021-11-17 | 2024-03-05 | 山东大学 | 一种基于可穿戴式传感器及视频监控的跌倒检测方法及系统 |
| FR3136094B1 (fr) * | 2022-05-25 | 2024-09-27 | Inetum | Procédé de détection de chute par analyse d’images |
| CN116597610B (zh) * | 2023-06-29 | 2025-12-02 | 山东城市服务职业学院 | 一种健康养老老人行为监测方法及系统 |
| CN117116004A (zh) * | 2023-10-25 | 2023-11-24 | 深圳市微克科技有限公司 | 一种智能穿戴设备的摔倒警报方法、系统及介质 |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SE517900C2 (sv) * | 1999-12-23 | 2002-07-30 | Wespot Ab | Sätt,övervakningssystem och övervakningsenhet för övervakning av en övervakningsplats |
| US20050146605A1 (en) | 2000-10-24 | 2005-07-07 | Lipton Alan J. | Video surveillance system employing video primitives |
| US9892606B2 (en) * | 2001-11-15 | 2018-02-13 | Avigilon Fortress Corporation | Video surveillance system employing video primitives |
| US7110569B2 (en) | 2001-09-27 | 2006-09-19 | Koninklijke Philips Electronics N.V. | Video based detection of fall-down and other events |
| SE0203483D0 (sv) | 2002-11-21 | 2002-11-21 | Wespot Ab | Method and device for fall detection |
| WO2004062496A1 (fr) * | 2003-01-10 | 2004-07-29 | Honeywell International Inc. | Systeme et procede de production automatique d'un message d'alerte contenant des informations supplementaires |
| JP4789511B2 (ja) * | 2004-06-04 | 2011-10-12 | キヤノン株式会社 | 状況モニタリング装置及び状況モニタリングシステム |
| US7248172B2 (en) | 2005-03-22 | 2007-07-24 | Freescale Semiconductor, Inc. | System and method for human body fall detection |
| US7613324B2 (en) * | 2005-06-24 | 2009-11-03 | ObjectVideo, Inc | Detection of change in posture in video |
| ATE500783T1 (de) * | 2006-01-07 | 2011-03-15 | Arthur Koblasz | Verwendung von rfid zur verhinderung oder erkennung von stürzen, umhergehen, bettausstieg sowie medizinischen fehlern |
| TW200745996A (en) * | 2006-05-24 | 2007-12-16 | Objectvideo Inc | Intelligent imagery-based sensor |
| GB0620620D0 (en) * | 2006-10-17 | 2006-11-29 | Imp Innovations Ltd | Pervasive sensing |
| GB2444107A (en) * | 2006-11-22 | 2008-05-28 | Karen Gail Lambert | Resident monitoring system with remote communications and video processing. |
| US9277878B2 (en) * | 2009-02-26 | 2016-03-08 | Tko Enterprises, Inc. | Image processing sensor systems |
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2012
- 2012-02-29 WO PCT/EP2012/053443 patent/WO2012119903A1/fr not_active Ceased
- 2012-02-29 EP EP12712975.7A patent/EP2681722B1/fr active Active
- 2012-02-29 DK DK12712975.7T patent/DK2681722T3/en active
Also Published As
| Publication number | Publication date |
|---|---|
| DK2681722T3 (en) | 2018-03-05 |
| WO2012119903A1 (fr) | 2012-09-13 |
| EP2681722A1 (fr) | 2014-01-08 |
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