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WO2018145250A1 - Rétroaction ergonomique - Google Patents

Rétroaction ergonomique Download PDF

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Publication number
WO2018145250A1
WO2018145250A1 PCT/CN2017/073071 CN2017073071W WO2018145250A1 WO 2018145250 A1 WO2018145250 A1 WO 2018145250A1 CN 2017073071 W CN2017073071 W CN 2017073071W WO 2018145250 A1 WO2018145250 A1 WO 2018145250A1
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WIPO (PCT)
Prior art keywords
user
data
computing device
indicative
sensor
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/CN2017/073071
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English (en)
Inventor
Nicolas J-C SCHMITT
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Microsoft Technology Licensing LLC
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Microsoft Technology Licensing LLC
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Publication date
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Priority to PCT/CN2017/073071 priority Critical patent/WO2018145250A1/fr
Publication of WO2018145250A1 publication Critical patent/WO2018145250A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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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
    • G08B21/18—Status alarms
    • G08B21/24—Reminder alarms, e.g. anti-loss alarms
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
    • A47C31/008—Use of remote controls
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C7/00—Parts, details, or accessories of chairs or stools
    • A47C7/62—Accessories for chairs
    • A47C7/72—Adaptations for incorporating lamps, radio sets, bars, telephones, ventilation, heating or cooling arrangements or the like
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/1036—Measuring load distribution, e.g. podologic studies
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring 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 or mobility of a limb
    • A61B5/1116—Determining posture transitions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4538—Evaluating a particular part of the muscoloskeletal system or a particular medical condition
    • A61B5/4561—Evaluating static posture, e.g. undesirable back curvature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/486—Biofeedback
    • 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
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6891—Furniture
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B3/00—Audible signalling systems; Audible personal calling systems
    • G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B5/00—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
    • G08B5/22—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
    • G08B5/36—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B6/00—Tactile signalling systems, e.g. personal calling systems

Definitions

  • the present disclosure relates to monitoring and detecting ergonomic data associated with movements and positions of subjects.
  • Various ergonomics solutions can be implemented to improve comfort, health, safety, and productivity. These solutions typically involve an analysis of postures of a subject while performing certain tasks. For example, an ergonomist can be deployed to visually observe the postures of subjects to determine ergonomic conditions associated with performing the tasks and to suggest alternatives based on the ergonomic conditions.
  • Sensor data associated with sensors located on one or more seat pads or cushions is received.
  • the data is indicative of movements or positions of a user as the user is seated on a chair on which the one or more seat pads or cushions are situated.
  • the sensor data is compared to a set of baseline data that is indicative of a target seating position.
  • the target seating position is specific to the user and determined during a calibration process for collecting the baseline data using the sensors located on the one or more seat pads or cushions.
  • Feedback data is provided to the user that is indicative of a deviation of a current movement or position of the user from the target seating position.
  • FIG. 1 is an illustration of an example system for monitoring seating positions and movements of a user in accordance with the disclosure
  • FIG. 2 is an illustration of an example system for monitoring seating positions and movements of a user
  • FIG. 3 is an illustration of an computing system that may be used in various embodiments.
  • FIG. 4 is an illustration of operations for monitoring seating positions and movements of a user in accordance with the disclosure.
  • Improper posture can lead to a rounded and dysfunctional spinal posture, for example a C-Spine position.
  • An ergonomically proper posture typically includes proper placement of the posterior against the back of the seat pad and a correct sitting posture with the shoulders in line with the pelvis. Because of the latency before repetitive stress injuries may manifest, it is important to encourage the development and maintenance of correct posture habits on a regular basis.
  • Some tools may be used to improve the seating posture but it would be advantageous to provide tools that have communications capability, collect data, and provide recommendations to improve seating conditions.
  • the present disclosure describes an ergonomic seat pad or cushion that includes sensors that provide data that can be analyzed to provide user feedback and recommendations.
  • Figure 1 illustrates an example chair or seat 100 that includes a backrest 110 and a seating area cushion 120.
  • an ergonomic seat pad or cushion can include at least one sensor and means for wireless connectivity such as Wifi, Bluetooth, or other wireless communications technologies.
  • the ergonomic seat pad or cushion may be designed to be placed on the seating position, the back position, or other positions.
  • the sensors may be configured to detect body positions of the user.
  • the sensor data may be analyzed by software executing on a configured computing device that may be a desktop or laptop computer, smartphone, tablet, or any other device with computing capability.
  • the software may perform functions that determine that the user is properly sitting, including determining:
  • the ergonomic seat pad or cushion can be designed to fit a large number of chairs and chair types, and in some embodiments can be adjustable.
  • Sensors may be embedded in the ergonomic seat pad or cushion. Sensors may include pressure sensors, motion sensors, and force sensors. The data from these sensors can be analyzed by software executing on a computing device. Based on various detected conditions, a computing device may, for example, provide a notification to alert the user ifhe or she moves out of a proper sitting position, thus giving the user continuous feedback on their posture.
  • the sensors may be included in a cushion or seat pad that is part of a seat assembly.
  • the ergonomic seat pad or cushion may include a computing device configured to control the sensors, gather data from the sensors, and transmit data to a second computing device.
  • the second computing device may be configured to record the data, analyze the data, and display results of the analysis on a display device.
  • the second computing device may further be configured to provide visual, audio, or tactile feedback to the user to aid the user in maintaining an ergonomically correct posture when seated.
  • the ergonomic seat pad or cushion can thus assist in helping users learn and maintain healthier sitting habits and thus reduce risk of future injury.
  • the ergonomic seat pad or cushion may also be useful for employers to encourage proper seating habits to their employees.
  • the ergonomic seat pad or cushion may further be useful for physical therapists and various ergonomics professions to help clients with ergonomic plans and recommendations.
  • the ergonomic seat pad or cushion can in some embodiments, send user presence information to one or more computing devices, and can provide information to determine which seats are being occupied.
  • the ergonomic seat pad or cushion may be formed of any suitable material, such as fabric, foam, leather, or plastic.
  • the ergonomic seat pad or cushion may be formed as a single unit or with a separate seat pad and back pad, as well as additional pads.
  • a lumbar pad may also be included.
  • the sensors may be embedded in the ergonomic seat pad or cushion or attached to the surface of the ergonomic seat pad or cushion.
  • Each ergonomic seat pad or cushion may include more than one sensor.
  • a first sensor may be located on the ergonomic seat pad or cushion in such a way that the sensor can determine when a user is seated in the ergonomic seat pad or cushion.
  • the first sensor can be used for a variety of purposes, for example to determine whether a user is seated in the chair. When it is determined that a user is seated in the chair, then other functions can be activated. In this way, the overall system need not consume energy by monitoring for sensor data and running analysis functions when the user is not in the seating position.
  • the ergonomic seat pad or cushion can also include a second sensor that can be situated to determine whether the user is seated in such a way that the user’s posterior is against the back of the seat portion of the chair and touching the backrest portion of the chair. Additional sensors may be provided to further increase the amount of data that is collected, allowing for greater fidelity in the ergonomic analysis.
  • the senor can be situated so as to determine whether the user is seated so that the lumbar region of her back is properly positioned.
  • the ergonomic seat pad or cushion may include an additional sensor situated so as to determine the distance between the user′s upper back or shoulder blades and the surface of the ergonomic seat pad or cushion. This distance can be used to determine whether the user is seated in such a way that their shoulder blades or upper back is properly positioned.
  • the ergonomic seat pad or cushion may include an additional sensor situated so as to determine the distance between the sensor and the back of the user′s neck or the position of the user′s neck when the user is seated.
  • a sufficient number of sensors may be included to allow for a higher fidelity analysis and determination of a user’s position.
  • sensors may be placed on a seat cushion so as to determine if the user has a straightened back, if the user is too far forward, or if the user rolling back.
  • the user’s seating posture may be determined beyond only leaning. For example, it can be determined if the user is rolling his/her shoulder, or if the user has a straight back.
  • the sensors may be configured to determine the breaking of the S-curve or S-spine position which indicates an ergonomically correct posture.
  • the ergonomically correct posture may include proper placement of the posterior against the back of the seat pad, a supported lumbar region, sitting straight up with the shoulders in line with the pelvis and slightly apart from the seat back, and an erect neck posture in line with the shoulders and pelvis.
  • the above-described sensors may be communicatively coupled to at least a computing device.
  • the computing device may be configured to receive and measure signals from the sensors. For example, if the sensor is a pressure sensor, then the sensor may provide signals indicative of a sensed pressure that may, for example, correspond to the location of a user′s back and can be used to evaluate whether a user is sitting in the chair with an ergonomically correct posture.
  • the sensor may communicate with the computing device using a wired connection such as USB, or a wireless connection such as WiFi or Bluetooth.
  • the computing device may be configured to generate a user interface to display information pertaining to the user’s position.
  • the user interface may also provide other information such as the status of the ergonomic seat pad or cushion.
  • the sensors may send updated information and the updated information may be analyzed to provide updated information regarding the user’s position on the display. This may be performed in real-time.
  • the user interface may provide this information graphically or in tabular form.
  • the information may provide feedback on whether the user is following established recommendations for ergonomic posture.
  • the user interface may be configured to receive feedback from the user, for example, that indicates the user’s feedback on a particular position. This feedback may be used to adjust an ergonomic profile for the user.
  • the sensors may provide information that can uniquely identify a user based on a signature posture profile or weight profile, or other sensor information.
  • the ergonomic analysis function may perform calibration to establish a baseline user position. Updated information from the sensors may be analyzed and used to determine, based on comparison to the baseline user position, whether the user has changed positions and/or is in an improper position.
  • the ergonomic analysis may be performed by one or more functions implemented as an application executing on a mobile device such as a smartphone.
  • the smartphone may also send the sensor data and/or results of the analysis to a remote system such as a cloud-based system.
  • the cloud-based system may include functionality to store the received information.
  • the cloud-based system may also track the information for each user, for example, based on user accounts.
  • notifications may be provided to the user via a computing device executing the ergonomic analysis application. Additionally, the notifications maybe provided on multiple devices, such as a smartphone and a desktop computer.
  • the cloud-based system may analyze information based on current and accumulated infonnation for the user. The cloud-based system may also perform analysis based on crowdsourced information or information from other users providing similar information or executing the ergonomic analysis application on their respective computing devices.
  • the cloud-based system may be configured to receive, store, and process the data transmitted from one or more computing devices that are receiving sensor information from one or more units ergonomic seat pads or cushions.
  • the ergonomic seat pad or cushion can analyze the data in real-time or near real-time such that the users may receive timely information and feedback.
  • the cloud-based system can analyze the data received from the plurality of ergonomic seat pads or cushions against ergonomic data. If the analysis reveals an ergonomically unacceptable condition, the cloud-based system can associate the associated information with the condition. For example, the cloud-based system may performed specified actions when the analysis indicates that a set of sensor information for a user is indicative of an ergonomically unacceptable condition.
  • the ergonomic data at the cloud-based system can be based on various parameters that include input provided by an ergonomist, historical ergonomic information, human factors considerations (e.g., age of the user, user of the subject, etc. ) , and/or industry practices. Further, the cloud-based system can update and refine data based on the updated information, such that the processes of defining and identifying ergonomic are iterative.
  • the cloud-based system can provide additional functionality to forecast ergonomic issues and generate corrective actions for user action.
  • the ergonomic cushion or seat 200 is configured to be attached or place on a chair such that the ergonomic cushion or seat 200 is in turn contacted by a subject when seated.
  • the ergonomic cushion or seat 200 is configured to collect data associated with positions and movements of various body parts of the subject, and to transmit the collected data to the computing device 220.
  • the ergonomic cushion or seat 200 includes a number of sensors 202A-N (which may be referred herein singularly as “sensor 202” or in the plural as “sensors 202” ) connected to a computing device 204.
  • the sensors 202 are configured to measure and transmit data indicative of the positions and movements of the subject to the computing device 204, which in turn, processes and transmits the data to the computing device 220.
  • Each of the sensors 202 is typically attached to various locations in or on ergonomic cushion or seat 200. Although FIG. 2 shows nine sensors 202 located in various positions, this number can be larger or smaller depending on the size and purpose of the ergonomic cushion or seat 200.
  • the computing device 204 of the ergonomic cushion or seat 200 may interface with the computing device 220 by way of the access point 206 or a wired connection.
  • an intermediary device can also be used.
  • the computing device 220 may be a smartphone, a tablet, or another computing device that is capable of communicating directly with the computing device 206 via, for example, Bluetooth, or communicate with access point 206 to communicate with computing device 204.
  • each sensor 202 can include various types of sensors and devices such as a combination of an accelerometer such as a three-dimensional accelerometer, gyroscope, inclinometer, location sensor, position sensor, tilt sensor, rotation sensor, motion sensor, environmental sensor, temperature sensor, barometric pressure sensor, compass/gravity sensor, magnetic sensor, etc.
  • the sensor 202 can also be implemented as a virtual sensor that combines measurement and functionalities of the various types of sensors and devices.
  • an accelerometer attached to a node can be used to measure acceleration data at the node.
  • the amplitude of the acceleration data is indicative of a force applied to the node. If the acceleration data indicates that the force alternates directions, this alternation is indicative of a vibration at the node. Changes in the acceleration data also indicate a jerk movement at the node.
  • the accelerometer can measure position data such as an origin or neutral position and travelled positions. The travelled positions can be processed to determine movements and distances that the node travelled relative to the neutral position. Likewise, frequencies and directions associated with changes between travelled positions and the neutral position can be processed to determine vibrations and directions of the forces associated with the vibrations.
  • position data such as an origin or neutral position and travelled positions. The travelled positions can be processed to determine movements and distances that the node travelled relative to the neutral position.
  • frequencies and directions associated with changes between travelled positions and the neutral position can be processed to determine vibrations and directions of the forces associated with the vibrations.
  • the sensors 202 may be configured to transmit the measured data to the computing device 204, which may be configured to process the data to determine the movements and positions of the subject.
  • the computing device 204 may not perform processing and may collect and transmit data to computing device 220, which may in turn execute functionality to process the received data.
  • the computing device 204 may add time and location information to the processed data.
  • the time may be measured by way of a clock operated by the computing device 204, while the location may be determined from the measured data or from a location sensor of the computing device 204 (e.g., circuitry that determines coordinates based on global positioning system (GPS) , location triangulation techniques, etc. ) .
  • GPS global positioning system
  • the computing device 204 may label the processed data to identify the corresponding nodes. For example, a label of “LLB” may be added to data measured by the sensor 202A to indicate that this data is associated with the lower left part of the back of the ergonomic cushion or seat 200. Furthermore, the computing device 204 may categorize the data into a type of movement such as twisting of the shoulders. This categorization can combine the data from several sensors 202.
  • the computing device 204 may correlate the data (e.g., the time and location stamped, labeled, and categorized data) with a particular subject. For example, the computing device 204 can receive information that identifies the current subject, or may be able to detect or infer the identity of the subject based on sensed data. Identity information can be provided by the computing device 220 or can be locally stored at the computing device 204. For example, the computing device 204 can add an identifier of the subject (e.g., name, title, employee number, etc.
  • an identifier of the subject e.g., name, title, employee number, etc.
  • the computing device 220 may send an SMS alert to a mobile device of the subject to alert of the subject ofa potential ergonomic issue
  • the data can also be made anonymous, in which case the computing device 204 may remove any data that identifies the subject before transmission to the computing device 220.
  • the computing device 204 In order to receive a service back from the processing center (e.g., an alert) , the computing device 204 generates an identifier (e.g., a random number) that identifies it to the computing device 220.
  • the computing device 220 may track the data collected over time and provides a service to the computing device 204 based on an identifier of the computing device 204 rather than the subject.
  • the computing device 220 can notify the subject of potential ergonomic issues through various messages and sensory signals (e.g., text message, audible sound, a text, a flashing light, a vibration, etc. ) .
  • the computing device 204 may directly notify the user without depending on computing device 220.
  • the computing device 204 may be configured with various circuitries to generate sensory signals (e.g., a speaker, a monitor, a LED light, a vibration mechanism, etc. ) .
  • FIG. 3 illustrates an example of circuitry for implementing the monitoring and detecting techniques in accordance with the present disclosure.
  • circuitry includes hardware components (e.g., microprocessors, application specific integrated circuits, processors, etc. ) configured using firmware and software that implement the monitoring and detecting techniques described herein.
  • a processor can be configured by instructions loaded from memory, e.g., random access memory (RAM) , read-only memory (ROM) , firmware, and/or mass storage, embodying logic operable to configure the processor to perform the functionalities disclosed herein.
  • RAM random access memory
  • ROM read-only memory
  • firmware firmware
  • mass storage embodying logic operable to configure the processor to perform the functionalities disclosed herein.
  • these functionalities can be implemented on a single-board microcontroller designed around a reduced instruction set computing (RISC) single chip microcontroller, for example an 8-bit RISC or a 32-bit ARM commercially available from microcontroller by using a programming language compiler and a boot loader that executes on the microcontroller.
  • RISC reduced instruction set computing
  • FIG. 3 illustrates an example of the system 300 that may include at least a processor 302, a system memory 304, a storage device 306, input/output peripherals 308, communication peripherals 310, and an interface bus 312.
  • the interface bus 312 may be configured to communicate, transmit, and transfer data, controls, and commands among the various components of the system 300.
  • the system memory 304 and the storage device 306 may comprise computer readable storage media.
  • a non-transitory computer-accessible storage medium may include any volatile or non-volatile media, such as RAM (e.g. SDRAM, DDR SDRAM, RDRAM, SRAM, etc. ) , ROM, etc., that may be included in some embodiments of computing device 700 as system memory 720 or another type of memory.
  • a computer-accessible medium may include transmission media or signals such as electrical, electromagnetic or digital signals, conveyed via a communication medium such as a network and/or a wireless link, such as may be implemented via network interface 740.
  • a communication medium such as a network and/or a wireless link, such as may be implemented via network interface 740.
  • Portions or all of multiple computing devices, such as those illustrated in FIG. 7, may be used to implement the described functionality in various embodiments; for example, software components running on a variety of different devices and servers may collaborate to provide the functionality.
  • portions of the described functionality may be implemented using storage devices, network devices, or special-purpose computer systems, in addition to or instead of being implemented using general-purpose computer systems.
  • the term “computing device, ” as used herein, refers to at least all these types of devices and is not limited to these types of devices.
  • the phrase “computer-readable storage medium” and variations thereof, does not include waves, signals, and/or other transitory and/or intangible communication media.
  • the system memory 304 may comprise an operation system and applications.
  • the processor 302 may be configured to execute the stored instructions and can comprise, for example, a logical processing unit, a microprocessor, a digital signal processor, and the like.
  • the input and output peripherals 308 may include user interfaces such as a keyboard, screen, microphone, speaker, other input/output devices, and computing components such as digital-to-analog and analog-to-digital converters, graphical processing units, serial ports, parallel ports, universal serial bus, signal generators, filters, signal processors, and the like.
  • the input/output peripherals may be connected to the processor 302 through any of the ports coupled to the interface bus 312.
  • the communication peripherals 310 may be configured to facilitate communication between the system 300 and other computing devices over a communications network and may include, for example, a network interface controller, modem, various modulators/demodulators and encoders/decoders, wireless and wired interface cards, antenna, transmitters, receivers, and the like.
  • the various data indicative of the user position and movements can be collected and processed as shown in FIG. 4.
  • the data can be analyzed in real-time to provide real-time feedback and can be also stored for further analysis or sent to a cloud-based service.
  • operation 400 begins the operational procedure. Operation 400 may be followed by operation 402. Operation 402 illustrates receiving, by a computing device, sensor data associated with sensors located on one or more seat pads or cushions. In an embodiment, the data may be indicative of movements or positions of a user as the user is seated on a chair on which the one or more seat pads or cushions are situated.
  • Operation 402 may be followed by operation 404.
  • Operation 404 illustrates analyzing, by the computing device, the received sensor data by comparing the sensor data to a set of baseline data.
  • the baseline data may be indicative of a target seating position.
  • the target seating position may specific to the user and determined during a calibration process for collecting the baseline data using the sensors located on the one or more seat pads or cushions.
  • Operation 404 may be followed by operation 406.
  • Operation 406 illustrates based on the comparing, providing feedback data indicative of a deviation of a current movement or position of the user from the target seating position.
  • the feedback data may be indicative of an ergonomic issue when the data corresponds to the current movement or position of the user exceeding an ergonomic threshold.
  • the ergonomic threshold may be presented as a numerical value, in some examples.
  • the feedback data may be usable to generate a notification to the user via the computing device.
  • information indicative of an acknowledgement of the feedback from the user may be received.
  • the computing device may be located remotely from the user and the sensor data may received from a remote device via a communications network. Additionally, sensor data may be received from a plurality of remote devices and associated with a plurality of users. The feedback data may determined in view of the sensor data associated with the plurality of users.
  • the sensors may comprise one or more of a pressure sensor, motion sensor, or a force sensor.
  • the ergonomic issue may include a twisting of the shoulders of the user.
  • the baseline data may be indicative of an S-curve.
  • an identity of the user may be determined based on the received sensor data.
  • a feature that can be implemented at the computing device 220 is the visualization of the processed data and their comparisons to thresholds (e.g., posture or movement thresholds) to detect ergonomic issues.
  • This feature allows the user to obtain visual snapshots representative of the cumulative effect of the forces, motions, postures, etc., that the user experiences over a specified time period.
  • the visualized data can be associated with a plurality of subjects, over longer or shorter time periods.
  • the visualized data can be shown by body part (e.g., neck, back) , etc.
  • the data can be rendered on a monitor or a display accessible to the user.
  • the cloud-based service may analyze collected data for multiple users to determine statistical information and to identify trends and patterns related to user ergonomic habits, patterns, and health.
  • the device driver assessment system may be configured to analyze the data.
  • Conditional language used herein such as, among others, ′′can, ′′ ′′could, ′′ ′′might, ′′ ′′may, ′′ “e.g., ” and the like, unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain examples include, while other examples do not include, certain features, elements, and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more examples or that one or more examples necessarily include logic for deciding, with or without author input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular example.
  • the term “at least one of” is used in its inclusive sense (and not in its exclusive sense) so that when used, for example, in reference with a list of elements, the term “at least one of” means one, some, or all of the elements in the list rather than one of each element and/or one from each category or type of elements.

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  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

L'invention concerne des techniques de surveillance de positions assises et de mouvements d'un utilisateur. Des données de capteur associées à des capteurs situés sur un ou sur plusieurs coussins de siège sont reçues. Les données indiquent les mouvements ou les positions d'un utilisateur lorsque l'utilisateur est assis dans un fauteuil dans lequel le ou les coussins de siège sont situés. Les données de capteur sont comparées à un ensemble de données de référence qui indiquent une position assise cible. La position assise cible est spécifique de l'utilisateur et déterminée pendant un processus d'étalonnage destiné à collecter les données de référence au moyen des capteurs situés sur le ou les coussins de siège. Des données de rétroaction sont fournies à l'utilisateur qui indiquent l'écart d'un mouvement ou d'une position actuelle de l'utilisateur par rapport à la position assise cible.
PCT/CN2017/073071 2017-02-07 2017-02-07 Rétroaction ergonomique Ceased WO2018145250A1 (fr)

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EP3788914A1 (fr) * 2019-09-03 2021-03-10 "Cluster Mobilier Transilvan" Association Chaise ergonomique à capteurs de pression et de distance intégrés pour la détection et la prévention d'une posture incorrecte

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* Cited by examiner, † Cited by third party
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