SYSTEM AND METHOD FOR PROCESSING MOTION-RELATED SENSOR DATA WITH SOCIAL MIND-BODY GAMES FOR HEALTH APPLICATION

• US 20130203475A1
• Filed: 01/28/2013
• Published: 08/08/2013
• Est. Priority Date: 01/26/2012
• Status: Active Grant

• Current Assignee: Bongjoo Shin, David H. Kil
• Original Assignee: Bongjoo Shin, David H. Kil
• Inventors: Kil, David H., Shin, Bongjoo
• Granted Patent: US 9,474,970 B2
• Time in Patent Office: Days
• US Class Current: 463/7
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A63F 13/21 characterised by their sensors, purposes or types
• CPC Class Codes: A63F 13/212 using sensors worn by the player, e.g. for measuring heart beat or leg activity
• CPC Class Codes: A63F 13/428 involving motion or position input signals, e.g. signals representing the rotation of an input controller or a player's arm motions sensed by accelerometers or gyroscopes
• CPC Class Codes: A63F 13/44 involving timing of operations, e.g. performing an action within a time slot
• CPC Class Codes: A63F 13/65 automatically by game devices or servers from real world data, e.g. measurement in live racing competition
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G09B 19/003 Repetitive work cycles; Sequence of movements
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A system and method for processing motion-related sensor data for health application examines motion-related signal from a motion sensor located on a subject on a frame-by-frame basis to detect physical activities performed by the subject. For each frame, a detected activity is classified into a category of activities and performance parameters of the detected activity are estimated.

Claims

1. A method for processing motion-related sensor data for health application, the method comprising:

receiving motion-related signal from a motion sensor located on a subject;

examining the received motion-related signal on a frame-by-frame basis to detect physical activities performed by the subject, each frame representing a predefined time interval;

for each frame, classifying a detected activity into a category of activities; and

for each frame, estimating performance parameters of the detected activity.

2. The method of claim 1, wherein the classifying includes classifying the detected activity into the category of activities using a learning algorithm.

3. The method of claim 1, wherein the estimating includes estimating the performance parameters of the detected activity using a bank of matched filters.

4. The method of claim 1, wherein the estimating includes estimating at least one of counts for each frame, range of motion for each frame, balance score for each frame, steps/strides per frame and revolution per frame.

5. The method of claim 1, wherein the received motion-related signal is from a smartphone that includes the motion sensor.

6. The method of claim 1, further comprising recommending a mind-body and reward-based game to the subject, wherein the mind-body and reward-based game involves the subject to perform prescribed motions to play.

7. The method of claim 6, further comprising transmitting the mind-body and reward-based game to one or more recipients associated with the subject so that the mind-body and reward-based game can be played by at least one of the recipients.

8. The method of claim 7, further comprising matching the subject to at least one of the recipients based on at least one of activity compatibility, wellbeing index, playing patterns, user profile and social relationship of the subject and the recipients.

9. The method of claim 6, further comprising submitting results of the mind-body and reward-based game to a crowdsourcing community for feedback.

10. The method of claim 1, further comprising recommending a mind-body and reward-based game to the subject, wherein the mind-body and reward-based game involves using points to play, and wherein the points are accumulated by performing prescribed motions.

11. A system for processing motion-related sensor data for health application, the system comprising:

a digital signal processing unit that is configured to receive motion-related signal from a motion sensor located on a subject and to examine the received motion-related signal on a frame-by-frame basis to detect physical activities performed by the subject, each frame representing a predefined time interval;

a frame-based activity classification unit operably connected to the digital signal processing unit, the frame-based activity classification unit being configured to classify, for each frame, a detected activity into a category of activities; and

a parameter estimation unit operably connected to the digital signal processing unit, the parameter estimation unit being configured to estimate, for each frame, performance parameters of the detected activity.

12. The system of claim 11, wherein the frame-based activity classification unit is configured to classify the detected activity into the category of activities using a learning algorithm.

13. The system of claim 11, wherein the parameter estimation unit is configured to estimate the performance parameters of the detected activity using a bank of matched filters.

14. The system of claim 11, wherein the parameter estimation unit is configured to estimating at least one of counts for each frame, range of motion for each frame, balance score for each frame, steps/strides per frame and revolution per frame.

15. The system of claim 11, wherein the received motion-related signal is from a smartphone that includes the motion sensor.

16. The system of claim 11, further comprising a gaming engine that is configured to recommend a mind-body and reward-based game to the subject, wherein the mind-body and reward-based game involves the subject to perform prescribed motions to play.

17. The system of claim 16, wherein the gaming engine is configured to transmit the mind-body and reward-based game to one or more recipients associated with the subject so that the mind-body and reward-based game can be played by at least one of the recipients.

18. The system of claim 17, further comprising a matchmaking engine that is configured to match the subject to at least one of the recipients based on at least one of activity compatibility, wellbeing index, playing patterns, user profile and social relationship of the subject and the recipients.

19. The system of claim 18, wherein the matchmaking engine is configured to submit results of the mind-body and reward-based game to a crowdsourcing community for feedback.

20. The system of claim 11, further comprising a gaming engine that is configured to recommend a mind-body and reward-based game to the subject, wherein the mind-body and reward-based game involves using points to play, and wherein the points are accumulated by performing prescribed motions.