IP Library › Granted Patent US 10,520,297
Granted Patent B2
US 10,520,297 · App. 16/171,361 · Granted Dec 31, 2019

Thermal sensor position detecting device

Inventor: Curtis P. White (Brooklyn, NY)
Assignee: Child Mind Institute, Inc.
G01B11/14A61B5/1114A61B5/16A61B5/6802A61B5/7264G01B11/002G01B11/26G01V8/10A61B5/024A61B5/02405A61B5/14551A61B5/165A61B5/486A61B5/681A61B5/7267G06F3/011
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,520,297
App. No.
16/171,361
Granted
Dec 31, 2019
Kind
B2
Abstract

Devices and methods for determining the position of a device relative to a person using the device, or the position of a part of a user's body relative to the user. One or more thermal sensor may be used to determine the relative position of the device or part of the user's body.

Claims (32)

1. A system for determining a position of an arm of a user relative to another portion of the user's body, comprising:

a device configured to be attachable to said arm, said device having at least one sensor, wherein the at least one sensor comprises a thermal sensor, and wherein the thermal sensor comprises three thermopiles;

a memory having a machine-readable medium comprising machine executable code; and

one or more processors coupled to the memory, said one or more processors configured to execute the machine executable code, wherein the machine executable code is capable of causing the one or more processors to:

receive data comprising data output from the at least one sensor;

process the received data using a machine learning algorithm to generate an output indicating a probability that the user has engaged in a behavior; and

generate an output if the probability exceeds a predetermined quantity.

2. The system of claim 1 , wherein the behavior is hair pulling, skin picking, nail biting, or thumb sucking.

3. The system of claim 1 , wherein the machine learning algorithm is a neural network.

4. The system of claim 1 , wherein the at least one sensor further comprises an accelerometer.

5. The system of claim 1 , wherein the at least one sensor further comprises a proximity sensor.

6. The system of claim 5 , wherein the at least one sensor further comprises an accelerometer.

7. The system of claim 1 , wherein the output causes the device to generate an auditory alert.

8. The system of claim 1 , wherein the output causes the device to vibrate.

9. The system of claim 1 , wherein each of the three thermopiles is oriented in a direction that is not parallel to the orientation of any of the other thermopiles.

10. The system of claim 9 , wherein the at least one sensor further comprises an accelerometer.

11. The system of claim 10 , wherein the at least one sensor further comprises an accelerometer.

12. The system of claim 10 , wherein the at least one sensor further comprises a proximity sensor.

13. The system of claim 9 , wherein the at least one sensor further comprises a proximity sensor.

14. A system for determining a position of an arm of a user relative to another portion of the user's body, comprising:

a device configured to be attachable to said arm, said device having at least one sensor wherein the at least one sensor comprises a thermal sensor, and wherein the thermal sensor comprises three thermopiles;

a memory having a machine-readable medium comprising machine executable code; and

one or more processors coupled to the memory, said one or more processors configured to execute the machine executable code, wherein the machine executable code is capable of causing the one or more processors to:

receive a set of sensor data comprising data output from the at least one sensor;

process the sensor data using a machine learning algorithm to determine if the user has engaged in a behavior; and

generate an output if the user has engaged in the behavior.

15. The system of claim 14 , wherein the behavior is hair pulling, skin picking, nail biting, or thumb sucking.

16. The system of claim 14 , wherein the machine learning algorithm is a neural network.

17. The system of claim 14 , wherein the at least one sensor further comprises an accelerometer.

18. The system of claim 14 , wherein the at least one sensor further comprises a proximity sensor.

19. The system of claim 18 , wherein the at least one sensor further comprises an accelerometer.

20. The system of claim 14 , wherein each of the three thermopiles is oriented in a direction that is not parallel to the orientation of any of the other thermopiles.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 14, 2022
From: WHITE, CURTIS P.
To: CHILD MIND INSTITUTE, INC.
Reel/Frame 060190/0681 →
Continuity (3)
Continuation 15816706 · Nov 17, 2017
Provisional Application 62424131 · Nov 18, 2016
Related Publication 20190120612A1 · Apr 25, 2019