Wearable user input device and sensors system to detect injury
A system for monitoring injuries comprising a plurality of wearable user input devices and a wireless transceiver. Each of the plurality of wearable user input devices may be configured to detect motion patterns of a user. Each of the plurality of wearable user input devices may be configured as performance equipment. The wireless transceiver may be configured to communicate the motion patterns to a user device. The user device may be configured to (i) develop and store reference patterns related to impacts, (ii) compare the detected motion patterns with the reference patterns, (iii) estimate a location and direction of an impact based on the comparison, (iv) accumulate data from the estimated impact with previously suffered impact data, (v) aggregate results based on the accumulated impact data and context information and (vi) generate feedback for the user based on the aggregated results.
1. A system for monitoring injuries comprising:
a plurality of wearable user input devices each configured (i) to detect motion patterns of a user and (ii) as performance equipment; and
a wireless transceiver configured to communicate said motion patterns to a user device, wherein said user device is configured to (i) develop and store reference patterns related to impacts, (ii) compare said detected motion patterns with said reference patterns, (iii) estimate a location and direction of an impact based on said comparison, (iv) accumulate impact data from said estimated impact with previously suffered impact data, (v) aggregate results based on said accumulated impact data and context information and (vi) generate feedback for said user based on said aggregated results.
2. The system according to claim 1 , wherein said feedback estimates a healing time of an injury.
3. The system according to claim 1 , wherein said system provides personalized head injury monitoring and management.
4. The system according to claim 1 , wherein said context information comprises cognitive data sources.
5. The system according to claim 1 , wherein said context information comprises baseline cognitive testing, school grades, attention data, data from learning management systems, geographical information, proximity data, health records, research information, data from social media sources, measurements of attention, changes in behavior, and measurements of attitude.
6. The system according to claim 1 , wherein said context information comprises data from other users wearing said wearable user input devices.
7. The system according to claim 6 , wherein said data from other users comprises proximity data on a playing surface.
8. The system according to claim 7 , wherein said proximity data is used to detect unsafe scenarios, wherein said unsafe scenarios lead to a higher incidence of injury.
9. The system according to claim 8 , wherein feedback is generated to (i) help avoid said unsafe scenarios and (ii) prevent injury from said impacts.
10. The system according to claim 1 , wherein said motion patterns measure head impact.
11. The system according to claim 1 , wherein said reference patterns are used to provide data to sports officials to recognize rule violations and unsafe scenarios.
12. The system according to claim 1 , wherein (i) said aggregated results measure damage to said wearable user input devices and (ii) said feedback suggests replacement of said wearable user input devices.
13. The system according to claim 1 , wherein (i) sensors are embedded in said wearable user input devices and (ii) said sensors comprise strain gages and inertial sensors.
14. The system according to claim 1 , wherein said wearable user input devices are configured to measure joint angles.
15. The system according to claim 14 , wherein (i) said measured joint angles, (ii) link velocities and (iii) accelerations are used to iteratively compute forces at a plurality of joints of said user.
16. The system according to claim 1 , wherein said reference patterns are determined based on data from controlled experiments.
17. The system according to claim 1 , wherein said estimated impact is used to determine a net force and a net torque of a head-neck interface and a neck-body interface of said user.
18. The system according to claim 1 , wherein said accumulated impact data is discarded when said previously suffered impact data has been received beyond a time threshold.
19. The system according to claim 1 , wherein said estimated impact is used to determine a neck strain of the user.
20. A method for monitoring injuries comprising:
using a plurality of wearable user input devices each configured (i) to detect motion patterns of a user and (ii) as performance equipment; and
using a wireless transceiver configured to communicate said motion patterns to a user device, wherein said user device is configured to (i) develop and store reference patterns related to impacts, (ii) compare said detected motion patterns with said reference patterns, (iii) estimate a location and direction of an impact based on said comparison, (iv) accumulate data from said estimated impact with previously suffered impact data, (v) aggregate results based on said accumulated impact data and context information and (vi) generate feedback for said user based on said aggregated results.