WO2023230514A2 - Moniteur de détection d'activité et de démarche pouvant être porté pour animaux - Google Patents

Moniteur de détection d'activité et de démarche pouvant être porté pour animaux Download PDF

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Publication number
WO2023230514A2
WO2023230514A2 PCT/US2023/067410 US2023067410W WO2023230514A2 WO 2023230514 A2 WO2023230514 A2 WO 2023230514A2 US 2023067410 W US2023067410 W US 2023067410W WO 2023230514 A2 WO2023230514 A2 WO 2023230514A2
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WO
WIPO (PCT)
Prior art keywords
animal
imu
harness
data
display
Prior art date
Application number
PCT/US2023/067410
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English (en)
Other versions
WO2023230514A3 (fr
Inventor
Charles RAMEY
Cole Anderson
Melody MOORE JACKSON
Arianna MASTALI
William Lucas STULL
Original Assignee
Georgia Tech Research Corporation
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 Georgia Tech Research Corporation filed Critical Georgia Tech Research Corporation
Publication of WO2023230514A2 publication Critical patent/WO2023230514A2/fr
Publication of WO2023230514A3 publication Critical patent/WO2023230514A3/fr

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/6804—Garments; Clothes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/112—Gait analysis
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • 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

Definitions

  • the various embodiments of the present disclosure relate generally to wearable activity monitoring systems.
  • An exemplary embodiment of the present disclosure provides a wearable gait monitoring system for monitoring characteristics of an animal pulling a payload.
  • the system can comprise and inertial measurement unit (IMU), a load sensor, and a display.
  • IMU inertial measurement unit
  • the IMU can be configured to be positioned proximate the animal and configured to generate IMU data indicative of an acceleration and rotation of the animal.
  • the load sensor can be configured to generate force data indicative of a force exerted on the payload by the animal.
  • the display can be configured to display load and gait information to a user, wherein the load and gait information can be based on the IMU data and the force data.
  • the system can further comprise a harness configured to be worn by the animal, and the IMU can be coupled to the harness.
  • the load sensor can comprise a first end coupled to the harness and a second end coupled to the payload.
  • system can further comprise a failsafe connector coupling the harness to the payload, in which the failsafe connector can be in parallel with the load sensor.
  • the IMU when the harness is worn by the animal, the IMU can be located substantially between two scapulas of the animal.
  • the IMU when the harness is worn by the animal, can be located substantially adjacent a spine of the animal. [0010] In any of the embodiments disclosed herein, when the harness is worn by the animal, the IMU can be located substantially adjacent the neck of the animal.
  • the harness can comprise a collar configured to be worn around the neck of the animal.
  • the display can be configured to display load and gait information to a user in real time.
  • the IMU data can be indicative of acceleration along three axes.
  • the IMU data can be indicative of rotation along three axes.
  • system can further comprise a controller configured to receive the IMU data and generate the gait information.
  • the gait information can comprise an alert indicating that the IMU data is outside of a predetermined range of values.
  • the gait information can comprise a frequency of steps taken by the animal.
  • the gait information can comprise an average step length of the animal.
  • the controller can be further configured to compare current IMU data to previous IMU data.
  • the system can comprise a harness, and IMU, and a load sensor.
  • the harness can be configured to be worn by an animal.
  • the IMU can be coupled to the harness.
  • the IMU can be configured to generate IMU data indicative of acceleration and rotation of the IMU.
  • the load sensor can comprise a first end coupled to the harness and a second end configured to be coupled to a payload.
  • the load sensor can be configured to generate load data indicative of a force exerted on the payload by the animal.
  • system can further comprise a controller configured to receive the IMU data and the load data, and, based at least in part on the IMU data and/or the load data, generate load and/or gait information.
  • the gait information can comprise an indication that the IMU data is outside of a predetermined range of values.
  • the gait information can comprise a frequency of steps taken by the animal.
  • the gait information can comprise an average step length of the animal.
  • the controller can be further configured to compare current gait information to previous gait information.
  • system can further comprise a display configured to display information to a user based on the IMU data and the force data.
  • the display can be configured to display the information to a user in real time.
  • FIG. 1 provides a schematic of a wearable gait monitoring system, in accordance with an exemplary embodiment of the present disclosure.
  • FIG. 2 provides an image of a harness, in accordance with an exemplary embodiment of the present disclosure.
  • FIG. 3 provides an image of a load sensor, in accordance with an exemplary embodiment of the present disclosure.
  • FIG. 4 provides an image of a display, in accordance with an exemplary embodiment of the present disclosure.
  • FIG. 5 provides an image of a display, in accordance with an exemplary embodiment of the present disclosure.
  • FIG. 6 provides an image of a display utilizing augmented reality, in accordance with an exemplary embodiment of the present disclosure.
  • FIGs. 7A-D provides plots of gait information displayed to a user, in accordance with an exemplary embodiment of the present disclosure.
  • FIG. 8 provides a schematic diagram of a computing device, in accordance with an exemplary embodiment of the present disclosure.
  • embodiments described below may be described in the context of being applied to dogs, e.g., sled dogs, the disclosure is not so limited. Rather, embodiments of the present disclosure can be used to monitor activity of many different animals, including animals that may aid in moving a payload, such as horses.
  • the various systems and methods disclosed herein can help animal trainers/operators (e.g., mushers) to better understand the health of their dogs and how to best train them.
  • a goal of the system is to help to decrease the number of injured sled dogs in races and training.
  • the systems and methods can allow rookie mushers to make fewer mistakes that result in canine injuries during training and races. Additionally, the systems and methods disclosed herein can be find more broad applications by allowing pet owners track the health of their animals.
  • an exemplary embodiment of the present disclosure provides a wearable gait monitoring system for monitoring characteristics of an animal 135 pulling a payload 140.
  • the system can comprise and inertial measurement unit (IMU) 105, a load sensor 110, and a display 115.
  • IMU inertial measurement unit
  • the system can comprise multiple IMUs 105 and load sensors 110, corresponding to each animal 135 used to pull the payload 140.
  • the IMU 105 can be many different IMUs known in the art for sensing one or more kinematic properties of the animal 135, including acceleration, rotation, and the like.
  • the IMU 105 can be an accelerometer, a gyroscope, or a combination thereof.
  • the IMU 105 can be configured to be positioned proximate the animal and configured to generate IMU data indicative of an acceleration and/or rotation of the animal.
  • the IMU data can be indicative of acceleration of the animal along three axes.
  • the IMU data can also be indicative of rotation along three axes.
  • the IMU data e.g., changes in rotation and vertical and/or horizontal movements
  • various gait information about the animal wearing the IMU including, but not limited to, gait frequency, gait length, and the like.
  • the load sensor 110 can be many different load sensors known in the art.
  • the load sensor 110 can be configured to generate force data indicative of a force exerted on the payload by the animal.
  • the load sensor can comprise a first end 305 that can be coupled to animal (e.g., via a harness), a second end 310 that can be coupled to the payload (via one or more lines), and a sensor 315 positioned between the first end 305 and the second end 310 configured to generate data indicative of a force applied to sensor based on pulling the first end 305 from the second end 310.
  • the display 115 can be many different displays (or combinations of displays) known in the art, including, but not limited to, a graphical user interface, a smartphone, a laptop, a personal computer, and monitor, and the like.
  • the display can be located proximate the payload (where a user operating the system may be positioned).
  • the display can be shown on a smartphone or laptop.
  • the display can be configured to display load and/or gait information about the animals to a user.
  • the load and/or gait information can be based on the IMU data generated by the IMU 105 and the force data generated by the load sensor 110.
  • the display can be configured to display load and/or gait information to a user in real time, thus allowing the user to have an understanding of the current performance of the animal(s).
  • the system can further comprise a controller.
  • the controller can be many different controllers known in the art, including, but not limited to, smartphones, microcontrollers, laptop computers, desktop computers, and the like.
  • the controller (or subcontrollers discussed below) can include one or more components of the computing device shown in FIG. 8.
  • the controller can be configured to receive the IMU data and generate the gait information.
  • the controller can also be configured to receive the force data from the load sensor.
  • the controller can comprise multiple processing units.
  • the controller could comprise a first processing unit (i.e., subcontroller) configured to receive IMU and force data from a corresponding first IMU and first load sensor for a first animal, and a second processing unit (i.e., subcontroller) configured to receive IMU and force data from a corresponding second IMU and second load sensor for a second animal.
  • the controller can also comprise a third processing unit (i.e., subcontroller) coupled to the display and configured to cause the display to display to various gait and/or load information.
  • the first and second processing units can be located proximate the first and second IMUs and can be configured to transmit data from the first and second IMUs to the third processing unit.
  • the transmission can occur via transceiver of the first and second processing units over a wired or wireless connection (e.g., Bluetooth).
  • FIGS. 4-7 illustrate various types of information (e.g., gait and/or load) that can be displayed to the user on the display.
  • FIG. 4 illustrates a display of multiple modules 405, 410, 415, and 420, each corresponding to a different animal.
  • Each modules 405, 410, 415, and 420 can change colors/pattems/etc. corresponding to a current performance of the animal.
  • the display can be configured to display gait information comprising an alert indicating that the IMU data for a particular animal is outside of a predetermined range of values (e.g., normal operational values).
  • modules 405 and 410 may remain a normal color/pattem/etc.
  • module 415 can change color/pattem/etc. indicating performance for that corresponding animal outside of a predetermined range. Additionally, the modules can provide varying degrees of alert. For example, module 420 can correspond to a patter/color/etc. indicating the corresponding animal is approaching a performance outside of the predetermined range, while module 415 can correspond to a pattem/color/etc. indicating the corresponding animal currently at a performance level outside of a predetermined range.
  • the controller can be configured to compare current IMU and/or force data to previous IMU and/or force data, thus allowing for the determination of, for example, whether the pull force (and/or gait frequency, gait length, etc.) generated by a corresponding animal is increasing, decreasing, or remaining generally constant. This can provide an indication of whether a particular animal is fatigued and/or injured.
  • FIG. 5 provides an alternative display showing performance (e.g., pull strength/load measured by the load sensor) for an animal over time (hourly, weekly, and monthly trends).
  • performance e.g., pull strength/load measured by the load sensor
  • FIG. 6 provides an alternative display that utilizes augmented reality to display both an image of the animals using the system overlayed with performance data (e.g., status information) of the animals.
  • performance data e.g., status information
  • FIG. 7 provides charts that can be displayed to the user on the display showing pull force over time (FIGs. 7A-B) and gait frequency over time (FIGs. 7C-D), thus allowing the user to see trends for the animals.
  • the system can further comprise a harness configured to be worn by the animal.
  • the harness can be configured to be worn on the back of an animal and can comprise straps 205 for securing the harness around one or more legs of the animal.
  • the harness can also comprise a pocket 210 that the IMU can be inserted into for coupling the IMU to the harness.
  • the harness shown in FIG. 2 when the harness is worn by the animal, the IMU can be located substantially between two scapulas (e.g., front scapulas) of the animal. In this configuration, when the harness is worn by the animal, the IMU can be located substantially adjacent a spine of the animal.
  • the harness is not limited to the embodiment shown in FIG. 2.
  • the harness can be many different harnesses for coupling the IMU to the animal.
  • the harness can comprise a collar worn around the neck of the animal, and the IMU can be attached the harness proximate the neck of the animal.
  • FIG. 1 shows an embodiment where a plurality of sled dogs 135 are pulling a sled 140.
  • a dogline 125 also known as a gangline
  • a separate tugline 145 can extend from the dogline 125 to each animal 135 (and be connected to each animal 135 via a harness).
  • Adjacent dogs 135 can be coupled via a neckline 130.
  • the user can be located on the sled 140 and capable of viewing the display 115.
  • the system can also comprise an additional load sensor 120 that can monitor the pull force on the payload 140 by the plurality of dogs 135.
  • the system can further comprise a failsafe connector coupling the animal to the payload (e.g., via a harness).
  • the failsafe connector can be many different connectors (bar, line, rope, etc.) and can be in parallel with the load sensor, such that if the load sensor fails (e.g., first and second ends 305, 310 become disconnected from each other), the failsafe continues to secure the animal to the payload.
  • FIG. 8 illustrates an exemplary computing device, one or more components of which can be included in the controller disclosed herein.
  • the computing device 220 can be configured to implement all or some of the features described in relation to the methods 1000 1100.
  • the computing device 220 may include a processor 222, an input/output (“I/O”) device 224, a memory 230 containing an operating system (“OS”) 232 and a program 236.
  • the computing device 220 may be a single server or may be configured as a distributed computer system including multiple servers or computers that interoperate to perform one or more of the processes and functionalities associated with the disclosed embodiments.
  • computing device 220 may be one or more servers from a serverless or scaling server system.
  • the computing device 220 may further include a peripheral interface, a transceiver, a mobile network interface in communication with the processor 222, a bus configured to facilitate communication between the various components of the computing device 220, and a power source configured to power one or more components of the computing device 220.
  • a peripheral interface may include the hardware, firmware and/or software that enable(s) communication with various peripheral devices, such as media drives (e.g., magnetic disk, solid state, or optical disk drives), other processing devices, or any other input source used in connection with the disclosed technology.
  • a peripheral interface may include a serial port, a parallel port, a general-purpose input and output (GPIO) port, a game port, a universal serial bus (USB), a micro-USB port, a high definition multimedia interface (HDMI) port, a video port, an audio port, a BluetoothTM port, a near-field communication (NFC) port, another like communication interface, or any combination thereof.
  • GPIO general-purpose input and output
  • USB universal serial bus
  • HDMI high definition multimedia interface
  • video port a video port
  • an audio port a BluetoothTM port
  • NFC near-field communication
  • a transceiver may be configured to communicate with compatible devices and ID tags when they are within a predetermined range.
  • a transceiver may be compatible with one or more of: radio-frequency identification (RFID), near-field communication (NFC), BluetoothTM, low-energy BluetoothTM (BLE), WiFiTM, ZigBeeTM, ambient backscatter communications (ABC) protocols or similar technologies.
  • RFID radio-frequency identification
  • NFC near-field communication
  • BLE low-energy BluetoothTM
  • WiFiTM WiFiTM
  • ZigBeeTM ZigBeeTM
  • ABS ambient backscatter communications
  • a mobile network interface may provide access to a cellular network, the Internet, or another wide-area or local area network.
  • a mobile network interface may include hardware, firmware, and/or software that allow(s) the processor(s) 222 to communicate with other devices via wired or wireless networks, whether local or wide area, private or public, as known in the art.
  • a power source may be configured to provide an appropriate alternating current (AC) or direct current (DC) to power components.
  • the processor 222 may include one or more of a microprocessor, microcontroller, digital signal processor, co-processor or the like or combinations thereof capable of executing stored instructions and operating upon stored data.
  • the memory 230 may include, in some implementations, one or more suitable types of memory (e.g.
  • RAM random access memory
  • ROM read only memory
  • PROM programmable readonly memory
  • EPROM erasable programmable read-only memory
  • EEPROM electrically erasable programmable read-only memory
  • magnetic disks optical disks, floppy disks, hard disks, removable cartridges, flash memory, a redundant array of independent disks (RAID), and the like
  • application programs including, for example, a web browser application, a widget or gadget engine, and or other applications, as necessary
  • executable instructions and data including an operating system, application programs (including, for example, a web browser application, a widget or gadget engine, and or other applications, as necessary), executable instructions and data.
  • the processing techniques described herein may be implemented as a combination of executable instructions and data stored within the memory 230.
  • the processor 222 may be one or more known processing devices, such as, but not limited to, a microprocessor from the PentiumTM family manufactured by IntelTM or the TurionTM family manufactured by AMDTM.
  • the processor 222 may constitute a single core or multiple core processor that executes parallel processes simultaneously.
  • the processor 222 may be a single core processor that is configured with virtual processing technologies.
  • the processor 222 may use logical processors to simultaneously execute and control multiple processes.
  • the processor 222 may implement virtual machine technologies, or other similar known technologies to provide the ability to execute, control, run, manipulate, store, etc. multiple software processes, applications, programs, etc.
  • the processor 222 may also comprise multiple processors, each of which is configured to implement one or more features/steps of the disclosed technology.
  • One of ordinary skill in the art would understand that other types of processor arrangements could be implemented that provide for the capabilities disclosed herein.
  • the computing device 220 may include one or more storage devices configured to store information used by the processor 222 (or other components) to perform certain functions related to the disclosed embodiments.
  • the computing device 220 may include the memory 230 that includes instructions to enable the processor 222 to execute one or more applications, such as server applications, network communication processes, and any other type of application or software known to be available on computer systems.
  • the instructions, application programs, etc. may be stored in an external storage or available from a memory over a network.
  • the one or more storage devices may be a volatile or non-volatile, magnetic, semiconductor, tape, optical, removable, non-removable, or other type of storage device or tangible computer-readable medium.
  • the computing device 220 may include a memory 230 that includes instructions that, when executed by the processor 222, perform one or more processes consistent with the functionalities disclosed herein. Methods, systems, and articles of manufacture consistent with disclosed embodiments are not limited to separate programs or computers configured to perform dedicated tasks.
  • the computing device 220 may include the memory 230 that may include one or more programs 236 to perform one or more functions of the disclosed embodiments.
  • the processor 222 may execute one or more programs located remotely from the computing device 220.
  • the computing device 220 may access one or more remote programs that, when executed, perform functions related to disclosed embodiments.
  • the memory 230 may include one or more memory devices that store data and instructions used to perform one or more features of the disclosed embodiments.
  • the memory 230 may also include any combination of one or more databases controlled by memory controller devices (e.g., server(s), etc.) or software, such as document management systems, MicrosoftTM SQL databases, SharePointTM databases, OracleTM databases, SybaseTM databases, or other relational or non-relational databases.
  • the memory 230 may include software components that, when executed by the processor 222, perform one or more processes consistent with the disclosed embodiments.
  • the memory 230 may include a database 234 configured to store various data described herein.
  • the database 234 can be configured to store the software repository 102 or data generated by the repository intent model 104 such as synopses of the computer instructions stored in the software repository 102, inputs received from a user (e.g., responses to questions or edits made to synopses), or other data that can be used to train the repository intent model 104.
  • data generated by the repository intent model 104 such as synopses of the computer instructions stored in the software repository 102, inputs received from a user (e.g., responses to questions or edits made to synopses), or other data that can be used to train the repository intent model 104.
  • the computing device 220 may also be communicatively connected to one or more memory devices (e.g., databases) locally or through a network.
  • the remote memory devices may be configured to store information and may be accessed and/or managed by the computing device 220.
  • the remote memory devices may be document management systems, MicrosoftTM SQL database, SharePointTM databases, OracleTM databases, SybaseTM databases, or other relational or non-relational databases. Systems and methods consistent with disclosed embodiments, however, are not limited to separate databases or even to the use of a database.
  • the computing device 220 may also include one or more I/O devices 224 that may comprise one or more user interfaces 226 for receiving signals or input from devices and providing signals or output to one or more devices that allow data to be received and/or transmitted by the computing device 220.
  • the computing device 220 may include interface components, which may provide interfaces to one or more input devices, such as one or more keyboards, mouse devices, touch screens, track pads, trackballs, scroll wheels, digital cameras, microphones, sensors, and the like, that enable the computing device 220 to receive data from a user.
  • the computing device 220 may include any number of hardware and/or software applications that are executed to facilitate any of the operations.
  • the one or more I/O interfaces may be utilized to receive or collect data and/or user instructions from a wide variety of input devices. Received data may be processed by one or more computer processors as desired in various implementations of the disclosed technology and/or stored in one or more memory devices.
  • computing device 220 has been described as one form for implementing the techniques described herein, other, functionally equivalent, techniques may be employed. For example, some or all of the functionality implemented via executable instructions may also be implemented using firmware and/or hardware devices such as application specific integrated circuits (ASICs), programmable logic arrays, state machines, etc. Furthermore, other implementations of the computing device 220 may include a greater or lesser number of components than those illustrated.
  • ASICs application specific integrated circuits
  • state machines etc.
  • other implementations of the computing device 220 may include a greater or lesser number of components than those illustrated.

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Abstract

Un mode de réalisation donné à titre d'exemple de la présente invention concerne un système de surveillance de démarche pouvant être porté pour surveiller des caractéristiques d'un animal tirant une charge utile. Le système peut comprendre une unité de mesure inertielle (IMU), un capteur de charge et un dispositif d'affichage. L'IMU peut être configurée pour être positionnée à proximité de l'animal et configurée pour générer des données d'IMU indicatives d'une accélération et d'une rotation de l'animal. Le capteur de charge peut être configuré pour générer des données de force indiquant une force exercée sur la charge utile par l'animal. L'affichage peut être configuré pour afficher des informations de charge et de démarche à un utilisateur, les informations de charge et de démarche pouvant être basées sur les données IMU et les données de force.
PCT/US2023/067410 2022-05-24 2023-05-24 Moniteur de détection d'activité et de démarche pouvant être porté pour animaux WO2023230514A2 (fr)

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US63/365,257 2022-05-24

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Publication number Priority date Publication date Assignee Title
US6676569B1 (en) * 1998-06-09 2004-01-13 Scott Brian Radow Bipedal locomotion training and performance evaluation device and method
WO2015164421A1 (fr) * 2014-04-21 2015-10-29 The Trustees Of Columbia University In The City Of New York Dispositifs, procédés et systèmes thérapeutiques et diagnostiques et de recherche concernant le mouvement humain
US11589813B2 (en) * 2018-07-30 2023-02-28 Cipher Skin Garment system providing biometric monitoring for medical condition assessment
CA3192401A1 (fr) * 2020-09-23 2022-03-31 Susan WERNIMONT Systeme et procede de surveillance du mouvement d'un animal

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