Systems and devices for motion tracking, assessment, and monitoring and methods of use thereof

• US 10,123,751 B2
• Filed: 04/13/2017
• Issued: 11/13/2018
• Est. Priority Date: 04/13/2016
• Status: Active Grant

• Current Assignee: Rs1worklete LLC
• Original Assignee: StrongArm Technologies, Inc.
• Inventors: Petterson, Sean Michael, Kim, Michael Dohyun, Argondizza, Alan Vito, Spinelli, Michael Patrick
• Primary Examiner(s): TOWA, RENE T
• Application Number:
  US15/487,410
• Publication Number:
  US 20170296129A1
• Time in Patent Office: 579 Days
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/7455 characterised by tactile indication, e.g. vibration or electrical stimulation
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A system includes a wearable sensor configured to be worn by a person and to record sensor data during an activity performed by the person; an analysis element configured to receive the sensor data from the wearable sensor, determine sensor orientation data of the wearable sensor during the activity based on the sensor data, translate the sensor orientation data of the wearable sensor to person orientation data of the person during the activity, determine, for the person during the activity, (a) a lift rate, (b) a maximum sagittal flexion, (c) an average twist velocity, (d) a maximum moment, and (e) a maximum lateral velocity, and determine a score representative of an injury risk to the person during the activity based on such data; and a tangible feedback element configured to provide at least one tangible feedback based on the score so as to reduce the injury risk.

Claims

1. A system, comprising:

a wearable sensor unit configured to be worn by a person at one location on the person'"'"'s body, the wearable sensor unit including a plurality of sensors configured to record sensor data during an activity performed by the person, the sensor data comprising accelerometer data, gyroscope data, and magnetometer data;

an analysis element configured to;

receive the sensor data from the wearable sensor unit, the sensor data including sensor orientation data of the wearable sensor unit during the activity, the sensor orientation data including (a) yaw data of the wearable sensor unit, (b) pitch data of the wearable sensor unit, and (c) roll data of the wearable sensor unit,

wherein the yaw data of the wearable sensor unit represents an orientation of the wearable sensor unit with respect to a yaw axis and with respect to a neutral orientation,

wherein the pitch data of the wearable sensor unit represents an orientation of the wearable sensor unit with respect to a pitch axis and with respect to a neutral orientation, the pitch axis being perpendicular to the yaw axis, and

wherein the roll data of the wearable sensor unit represents an angle of orientation of the wearable sensor unit with respect to a roll axis and with respect to a neutral orientation, the roll axis being perpendicular to the pitch axis and to the yaw axis,

determine a neutral posture of the person based on the sensor data recorded while the person is moving, wherein the neutral posture of the person includes a neutral posture yaw value, a neutral posture pitch value, and a neutral posture roll value,

translate, by a processor programmed with at least one matrix translation algorithm, the sensor orientation data of the wearable sensor unit to person orientation data of the person during the activity, the person orientation data including (a) yaw data of the person, (b) pitch data of the person, and (c) roll data of the person,

wherein the yaw data of the person represents an orientation of the person with respect to the yaw axis and with respect to the neutral posture of the person,

wherein the pitch data of the person represents an orientation of the person with respect to the pitch axis and with respect to the neutral posture of the person, and

wherein the roll data of the person represents an orientation of the person with respect to the roll axis and with respect to the neutral posture of the person,

determine, for the person during the activity, (a) a lift rate, (b) a maximum sagittal flexion, (c) an average twist velocity, (d) a maximum moment, and (e) a maximum lateral velocity based on at least (a) the yaw data of the person, (b) the pitch data of the person, and (c) the roll data of the person, and

determine a score representative of an injury risk to the person during the activity based on (a) the lift rate, (b) the maximum sagittal flexion, (c) the average twist velocity, (d) the maximum moment, and (e) the maximum lateral velocity; and

a tangible feedback element configured to provide at least one tangible feedback based on the score so as to reduce the injury risk, the at least one tangible feedback comprising at least one of (a) at least one haptic feedback, (b) at least one audible feedback, (c) at least one visible feedback, (d) at least one physical item to assist the person to perform the activity, and (e) at least one instruction to assist the person to perform the activity.

2. The system of claim 1, wherein the score is either a risk score that is configured to increase as the injury risk increases or a safety score that is configured to decrease as the injury risk increases.

3. The system of claim 1, wherein the tangible feedback element is integrated with the wearable sensor unit.

4. The system of claim 3, wherein the tangible feedback element includes at least one of (a) at least one vibration motor configured to provide the at least one haptic feedback, (b) at least one speaker configured to provide the at least one audible feedback, (c) at least one display configured to provide the at least one visible feedback, and (d) at least one indicator light configured to provide the at least one visible feedback.

5. The system of claim 1, wherein the tangible feedback element is configured to provide tangible feedback when the injury risk to the person exceeds a predetermined threshold.

6. The system of claim 1, wherein the determining, for the person during the activity, (a) the lift rate, (b) the maximum sagittal flexion, (c) the average twist velocity, (d) the maximum moment, and (e) the maximum lateral velocity is further based on body geometry.

7. The system of claim 6, wherein the body geometry is body geometry of the person.

8. The system of claim 6, wherein the body geometry is predetermined.

9. The system of claim 1, wherein the wearable sensor unit includes an inertial measurement unit.

10. The system of claim 1, wherein the wearable sensor unit includes a mobile phone.

11. The system of claim 1, wherein the tangible feedback includes at least one physical item to assist the person to perform the activity, and wherein the physical item includes at least one of an ergoskeleton, eye protection, ear protection, respiratory protection, foot protection, and hazardous materials protection, temperature protection, and fall protection.

12. The system of claim 1, wherein the tangible feedback includes at least one instruction to assist the person to perform the activity, and wherein the at least one instruction to assist the person to perform the activity includes training to perform the activity.

13. The system of claim 1, wherein the tangible feedback includes at least one instruction to assist the person to perform the activity, and wherein the at least one instruction to assist the person to perform the activity includes a scheduling change.

14. The system of claim 13, wherein the scheduling change includes one of reassigning the person and switching the person with a further person.

15. The system of claim 1, further comprising:

a plurality of further wearable sensor units, each of which is configured to be worn by one of a plurality of further persons, each of the plurality of further wearable sensor units including a plurality of sensors configured to record sensor data during an activity performed by the one of the further persons, the sensor data comprising accelerometer data, gyroscope data, and magnetometer data,

wherein the analysis element is further configured to;

receive the sensor data from each of the plurality of further wearable sensor units,

determine sensor orientation data of each of the plurality of further wearable sensor units during the activity based on the sensor data received from each of the plurality of further wearable sensor units,

translate, by the processor programmed with the at least one matrix translation algorithm, the sensor orientation data of each of the plurality of further wearable sensor units to person orientation data of each of the plurality of further persons during the activity,

determine, for each of the further plurality of persons during the activity, (a) a lift rate, (b) a maximum sagittal flexion, (c) an average twist velocity, (d) a maximum moment, and (e) a maximum lateral velocity, and

determine a further plurality of scores, each of which is representative of an injury risk to one of the further plurality of persons.

16. The system of claim 15, wherein the tangible feedback element is configured to provide tangible feedback to at least some of the further plurality of persons based on the scores of the at least some of the further plurality of persons.

17. The system of claim 15, wherein the analysis element is further configured to determine an aggregate score for at least some of the further plurality of persons.

18. The system of claim 17, wherein the at least some of the further plurality of persons are selected based on one of a job role, a full-time status, a duration of employment, a shift assignment, an injury history, a work location, a worker characteristic, a time of day, and a manual selection.

19. The system of claim 17, wherein the tangible feedback element is configured to provide tangible feedback to the at least some of the further plurality of persons based on the aggregate score.

20. The system of claim 1, wherein the activity includes performing at least one lifting action.

21. The system of claim 1, wherein the analysis element is configured to translate the sensor orientation data of the wearable sensor unit to the person orientation data of the person during the activity using at least one Tait-Bryan rotation.

22. The system of claim 1, wherein the neutral posture yaw value, the neutral posture pitch value, and the neutral posture roll value correspond to a yaw value, a pitch value, and a roll value, respectively, of a most common posture.

23. The system of claim 1, wherein the neutral posture yaw value corresponds to a yaw value that is most common, wherein the neutral posture pitch value corresponds to a pitch value that is most common, and wherein the neutral posture roll value corresponds to a roll value that is most common.