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WO2012119903A1 - 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 PDF

Info

Publication number
WO2012119903A1
WO2012119903A1 PCT/EP2012/053443 EP2012053443W WO2012119903A1 WO 2012119903 A1 WO2012119903 A1 WO 2012119903A1 EP 2012053443 W EP2012053443 W EP 2012053443W WO 2012119903 A1 WO2012119903 A1 WO 2012119903A1
Authority
WO
WIPO (PCT)
Prior art keywords
alarm
fall
person
monitored
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.)
Ceased
Application number
PCT/EP2012/053443
Other languages
German (de)
English (en)
Inventor
Jörg Hofmann
Jens LÜDERS
Uwe BÖHNKE
Jens Wagner
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.)
Deutsche Telekom AG
Original Assignee
Deutsche Telekom AG
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 Deutsche Telekom AG filed Critical Deutsche Telekom AG
Priority to EP12712975.7A priority Critical patent/EP2681722B1/fr
Priority to DK12712975.7T priority patent/DK2681722T3/en
Publication of WO2012119903A1 publication Critical patent/WO2012119903A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • 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
    • 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.
  • US Pat. No. 7,248,172 B2 has proposed a method and system for fall detection, which includes that the person to be monitored carries a device for detecting falls or for triggering an alarm on the body. This alarm can be transmitted in the form of a radio transmission to a rescue center.
  • 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 in which 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.
  • an event classification using geometric primitives is possible, as described 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.
  • US 20050146605 A1 relates to an optical monitoring method with geometric primitives and subsequent event analysis using event discriminators, whereby an alarm can be triggered depending on the detected event. 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. Offenbarune of the invention
  • 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 a system for detecting a special emergency or fall detection with a server and a universal standard gateway and an array of optical sensors
  • Figure 2 shows a system for detecting a particular emergency or fall detection with a health box and a health platform and an array of optical sensors
  • Figure 3 shows a system for detecting a special emergency or fall detection with a LogicHealth box and a health platform wherein the algorithms for video analysis and fall detection are implemented in an optical sensor.
  • Figure 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 11.1.
  • 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 Figure 1 includes the software for performing video image analysis, crash detection analysis and encryption, and data communication.
  • FIG. 2 shows a further embodiment.
  • the server 13 of Figure 1 is implemented as a so-called Healthbox 26, i. 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.
  • smartphones or wired 116 for example, to a telephone or external computer to an authorized circle 117 people.
  • the optical sensors 11.1 to 1 ln are over an interface 19 connected to the Healthbox 26.
  • the camera sensors only record the pictures.
  • the server of the first embodiment of FIG. 1 with the further devices is implemented in the form of the healthbox 26 in this second embodiment.
  • the health platform 27 of this second embodiment also has the functionality of the Universal Standard Gateway 114 of the first embodiment. As for the other elements of this embodiment, reference is made to FIG.
  • the logic HealthBox 25 in the embodiment of Figure 2 includes the software for performing 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.
  • the smart camera logic 33 in the embodiment of Figure 3 includes the software for performing the video image analysis and the fall detection analysis.
  • the logic HealthBox 35 has the remaining functions contained in the logic HealthBox 25 of the embodiment of FIG. 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 invention will be explained in more detail below with reference to functions and properties.
  • 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.
  • the optical sensors are designed such that they are robust to variable light conditions such as reflections and backlight. In addition, these can be designed in the form of infrared sensors to detect falls and emergencies even in the dark can.
  • 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 falls are well defined in advance and are part of a library of activated fall detection algorithms ("patterns.") Emergencies are identified primarily by algorithms that evaluate the static state of a person relative to the home environment and, in particular, detect an abnormal static condition ,
  • 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 functional properties and performance of the system.

Landscapes

  • 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)
  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Psychiatry (AREA)
  • Psychology (AREA)
  • Social Psychology (AREA)
  • Alarm Systems (AREA)

Abstract

L'invention concerne un procédé et un dispositif permettant la détection d'une situation d'urgence ou la détection d'une chute ainsi que la transmission d'une alarme. Le procédé comprend la surveillance d'une pièce au moyen d'au moins un capteur optique, tel qu'une caméra vidéo ou infrarouge, la détection d'une chute d'une personne dans la pièce surveillée au moyen d'une évaluation des images enregistrées par le capteur optique, la retouche des données d'image et le déclenchement d'une alarme et l'envoi des données d'image retouchées à au moins un récepteur autorisé si une chute d'une personne est détectée dans la pièce surveillée.
PCT/EP2012/053443 2011-03-04 2012-02-29 Procédé et système de détection de chute et de transmission d'une alarme Ceased WO2012119903A1 (fr)

Priority Applications (2)

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
DK12712975.7T DK2681722T3 (en) 2011-03-04 2012-02-29 Method and system for identifying falls and transmitting an alarm

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201161449131P 2011-03-04 2011-03-04
EP11156968.7 2011-03-04
EP11156968 2011-03-04
US61/449,131 2011-03-04

Publications (1)

Publication Number Publication Date
WO2012119903A1 true WO2012119903A1 (fr) 2012-09-13

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2012/053443 Ceased WO2012119903A1 (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)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014068480A3 (fr) * 2012-10-29 2014-06-26 Markus Schori Système de sécurité à fonction d'appel de secours intégrée
EP2763116A1 (fr) 2013-02-01 2014-08-06 FamilyEye BVBA Système de détection de chute et procédé de détection d'une chute d'une personne surveillée
CN107749143A (zh) * 2017-10-30 2018-03-02 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
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
CN111753587A (zh) * 2019-03-28 2020-10-09 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
CN114067436A (zh) * 2021-11-17 2022-02-18 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
CN116597610A (zh) * 2023-06-29 2023-08-15 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
FR3136094A1 (fr) * 2022-05-25 2023-12-01 Inetum Procédé de détection de chute par analyse d’images

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001048719A1 (fr) * 1999-12-23 2001-07-05 Wespot Ab Technique, systeme et module de surveillance
US20030058341A1 (en) 2001-09-27 2003-03-27 Koninklijke Philips Electronics N.V. Video based detection of fall-down and other events
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
US20050146605A1 (en) 2000-10-24 2005-07-07 Lipton Alan J. Video surveillance system employing video primitives
WO2005119620A1 (fr) * 2004-06-04 2005-12-15 Canon Kabushiki Kaisha Dispositif de surveillance de situation et systeme de surveillance de situation
US20060145874A1 (en) 2002-11-21 2006-07-06 Secumanagement B.V. Method and device for fall prevention and detection
US20060291694A1 (en) * 2005-06-24 2006-12-28 Objectvideo, Inc. Detection of change in posture in video
US20070013776A1 (en) * 2001-11-15 2007-01-18 Objectvideo, Inc. Video surveillance system employing video primitives
US20070159332A1 (en) * 2006-01-07 2007-07-12 Arthur Koblasz Using RFID to prevent or detect falls, wandering, bed egress and medication errors
US7248172B2 (en) 2005-03-22 2007-07-24 Freescale Semiconductor, Inc. System and method for human body fall detection
WO2007139658A2 (fr) * 2006-05-24 2007-12-06 Objectvideo, Inc. Détecteur intelligent fondé sur l'imagerie
WO2008047078A1 (fr) * 2006-10-17 2008-04-24 Imperial Innovations Limited Détection intrusive
GB2444107A (en) * 2006-11-22 2008-05-28 Karen Gail Lambert Resident monitoring system with remote communications and video processing.
US20110043630A1 (en) * 2009-02-26 2011-02-24 Mcclure Neil L Image Processing Sensor Systems

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001048719A1 (fr) * 1999-12-23 2001-07-05 Wespot Ab Technique, systeme et module de surveillance
US20050146605A1 (en) 2000-10-24 2005-07-07 Lipton Alan J. Video surveillance system employing video primitives
US20030058341A1 (en) 2001-09-27 2003-03-27 Koninklijke Philips Electronics N.V. Video based detection of fall-down and other events
US20070013776A1 (en) * 2001-11-15 2007-01-18 Objectvideo, Inc. Video surveillance system employing video primitives
US20060145874A1 (en) 2002-11-21 2006-07-06 Secumanagement B.V. Method and device for fall prevention and 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
WO2005119620A1 (fr) * 2004-06-04 2005-12-15 Canon Kabushiki Kaisha Dispositif de surveillance de situation et systeme de surveillance de situation
US7248172B2 (en) 2005-03-22 2007-07-24 Freescale Semiconductor, Inc. System and method for human body fall detection
US20060291694A1 (en) * 2005-06-24 2006-12-28 Objectvideo, Inc. Detection of change in posture in video
US20070159332A1 (en) * 2006-01-07 2007-07-12 Arthur Koblasz Using RFID to prevent or detect falls, wandering, bed egress and medication errors
WO2007139658A2 (fr) * 2006-05-24 2007-12-06 Objectvideo, Inc. Détecteur intelligent fondé sur l'imagerie
WO2008047078A1 (fr) * 2006-10-17 2008-04-24 Imperial Innovations Limited Détection intrusive
GB2444107A (en) * 2006-11-22 2008-05-28 Karen Gail Lambert Resident monitoring system with remote communications and video processing.
US20110043630A1 (en) * 2009-02-26 2011-02-24 Mcclure Neil L Image Processing Sensor Systems

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
CHIA-WEN LIN ET AL: "Compressed-domain Fall Incident Detection for Intelligent Homecare", THE JOURNAL OF VLSI SIGNAL PROCESSING, KLUWER ACADEMIC PUBLISHERS, BO, vol. 49, no. 3, 10 July 2007 (2007-07-10), pages 393 - 408, XP019557801, ISSN: 1573-109X, DOI: 10.1007/S11265-007-0092-3 *
JEFFREY L WANG ET AL: "UBIQUITOUS SENSING FOR POSTURE/BEHAVIOR ANALYSIS", PROCEEDINGS OF THE 2ND INTERNATIONAL WORKSHOP ON BODY SENSOR NETWORKS (BSN 2005), 1 April 2005 (2005-04-01), Imperial College London, The United Kingdom, pages 112 - 115, XP055005494, Retrieved from the Internet <URL:http://www.doc.ic.ac.uk/~benlo/ubimon/jeffrey.pdf> [retrieved on 20110824] *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014068480A3 (fr) * 2012-10-29 2014-06-26 Markus Schori Système de sécurité à fonction d'appel de secours intégrée
EP2763116A1 (fr) 2013-02-01 2014-08-06 FamilyEye BVBA Système de détection de chute et procédé de détection d'une chute d'une personne surveillée
CN107749143A (zh) * 2017-10-30 2018-03-02 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
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
CN111753587A (zh) * 2019-03-28 2020-10-09 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
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
CN114067436A (zh) * 2021-11-17 2022-02-18 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
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
FR3136094A1 (fr) * 2022-05-25 2023-12-01 Inetum Procédé de détection de chute par analyse d’images
CN116597610A (zh) * 2023-06-29 2023-08-15 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

Also Published As

Publication number Publication date
EP2681722A1 (fr) 2014-01-08
DK2681722T3 (en) 2018-03-05
EP2681722B1 (fr) 2017-12-20

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