IP Library › Granted Patent US 9,901,815
Granted Patent B2
US 9,901,815 · App. 14/387,225 · Granted Feb 27, 2018

Devices, systems, and methods for monitoring, classifying, and encouraging activity

Inventors: Majid Sarrafzadeh (Anaheim Hills, CA); Jason Holmes (La Canada, CA); Jordan Mendler (Tarzana, CA); Simran Basi (Pleasanton, CA); Diego Villasenor (El Centro, CA); Bita Zadeh (Anaheim Hills, CA); Daniel Sebastian Pan (Arcadia, CA)
Assignee: The Regents of the University of California
A63F13/212A61B5/1118A61B5/6896G06Q50/10G06Q50/22A61B5/1123A61B5/7264A61B5/744A61B2503/06
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Quick Facts
Patent No.
US 9,901,815
App. No.
14/387,225
Granted
Feb 27, 2018
Kind
B2
Abstract

Devices, methods, and systems for monitoring, classifying and encouraging activity through the use of an accelerometer or other sensor in a toy or other accessory (such as a backpack or watch) that records activity are disclosed. The activity is classified, using various motion classification algorithms, to determine the specific types and amount of activities performed and the times and duration for which they were performed. The classified data is used in the rest of the system, which allows users to view activity history, recommendations for how to improve health, and play games in which the player's game performance is effected by their activity levels. In games and on the website, feedback is also given to users to encourage and reward exercise, while handicapping users that are not active.

Claims (43)

1. A system for encouraging physical activity, comprising:

a motion sensing device configured to capture motion data representing a user's physical activity;

a computing device configured to process motion data captured by the motion sensing device to determine activity data, wherein processing motion data captured by the motion sensing device includes classifying motion data captured by the motion sensing device as one or more of a plurality of types of physical activity, and wherein classifying motion data includes at least one of:

classifying motion data using a voting ensemble; and

using an unsupervised clustering technique or a semi-supervised clustering technique to classify motion data representing previously unknown types of physical activities; and

a computing device configured to:

receive the activity data; and

present an interface that includes one or more games for use by the user, wherein one or more attributes of the games are modified based on the received activity data.

2. The system of claim 1 , further comprising an accessory, wherein the motion sensing device is coupled to the accessory.

3. The system of claim 2 , wherein the accessory is selected from a group consisting of a toy, a watch, a shoe, an article of clothing, a wristband, an item of jewelry, a smartphone, and a mobile computing device.

4. The system of claim 3 , wherein the toy includes at least one removable strap for attaching the toy to the user.

5. The system of claim 1 , wherein the motion sensing device includes a 3-axis accelerometer.

6. The system of claim 1 , wherein the voting ensemble includes a J48, a OneR, and a NaiveBayes classifier.

7. The system of claim 1 , wherein the voting ensemble is configured to use a function of probabilities.

8. The system of claim 7 , wherein the function of probabilities is an average of probabilities.

9. The system of claim 1 , wherein at least one of the games includes an avatar, and wherein an attribute of the avatar is modified based on the received activity data.

10. The system of claim 9 , wherein at least one of the games includes more than one avatar, and wherein the received activity data is transferable from one avatar to another avatar.

11. The system of claim 1 , wherein the computing device is further configured to provide activity data or game information to a social media service.

12. The system of claim 1 , wherein the motion sensing device is further configured to refrain from capturing motion data unless a pattern of motion is detected indicative of a user associated with a classifier trained for the motion sensing device.

13. A method of encouraging physical activity, comprising:

monitoring physical activity of a user to collect motion data using at least one accelerometer;

analyzing, with a computing device, the motion data to identify one or more physical activities performed by the user, wherein analyzing the motion data includes classifying the motion data as one or more of a plurality of types of physical activity; and

updating attributes of a video game avatar based on the activities performed by the user;

wherein updating attributes of a video game avatar includes:

changing an appearance of the avatar to appear healthy in response to determining that a threshold amount of physical activity has been performed by the user; and

changing an appearance of the avatar to appear less healthy in response to determining that a predetermined amount of game activity has occurred since the monitored physical activity.

14. The method of claim 13 , wherein monitoring physical activity of a user includes collecting motion data using at least one accelerometer located in an accessory coupled to the user.

15. The method of claim 13 , wherein the one or more physical activities include at least one of walking, running, climbing up stairs, climbing down stairs, doing jumping jacks, jumping up, long jumping forward, push-ups, swinging a tennis racket, pull-ups, jogging, sleeping, spinning, doing cartwheels, and being carried by a vehicle.

16. The method of claim 13 , wherein updating attributes of a video game avatar includes improving an in-game performance of the avatar in response to determining that a threshold amount of physical activity has been performed by the user.

17. The method of claim 13 , further comprising:

retrieving motion data from the at least one accelerometer;

tagging the motion data as a predetermined type of physical activity; and

generating a classifier to recognize the predetermined type of physical activity based on motion data.

18. A system for encouraging physical activity, comprising:

a motion sensing device configured to capture motion data representing a user's physical activity using at least one accelerometer;

a computing device configured to process motion data captured by the motion sensing device to determine activity data, wherein processing motion data captured by the motion sensing device includes:

retrieving motion data from the at least one accelerometer of the motion sensing device;

tagging the motion data as a predetermined type of physical activity;

generating a classifier to recognize the predetermined type of physical activity based on motion data; and

classifying motion data captured by the motion sensing device as one or more of a plurality of types of physical activity using the classifier; and

a computing device configured to:

receive the activity data; and

present an interface that includes one or more games for use by the user, wherein one or more attributes of the games are modified based on the received activity data.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 13, 2016
From: SARRAFZADEH, MAJID; HOLMES, JASON; MENDLER, JORDAN; BASI, SIMRAN; VILLASENOR, DIEGO; ZADEH, BITA; PAN, DANIEL SEBASTIAN
To: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Reel/Frame 037478/0001 →
Continuity (2)
Provisional Application 61614437 · Mar 22, 2012
Related Publication 20150050972A1 · Feb 19, 2015