Disengaging movement assistance

• US 10,433,367 B2
• Filed: 07/02/2018
• Issued: 10/01/2019
• Est. Priority Date: 10/10/2016
• Status: Active Grant

• Current Assignee: AT&T Mobility II LLC (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Pratt, James H., Edwards, Greg W., Lattanzi, Michael, Missimer, Constance
• Primary Examiner(s): Jia, Xin
• Application Number:
  US16/025,715
• Publication Number:
  US 20180324896A1
• Time in Patent Office: 456 Days
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/0346 with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/223 Execution procedure of a spoken command
• CPC Class Codes: H04W 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks

Abstract

A device, non-transitory computer-readable medium, and method for disengaging a corrective action via a wearable unit are disclosed. In one example, a processor may receive a movement model for a type of motion of a user, collect sensor data associated with the type of motion of the user from a plurality of sensors of a wearable unit, and determine that the sensor data is not in accordance with the movement model. The processor may further provide a corrective action via the wearable unit in accordance with the movement model when it is determined that the sensor data is not in accordance with the movement model, detect a triggering condition for disengaging the corrective action, and disengage the corrective action when the triggering condition is detected.

Claims

1. A device comprising:

a processor; and

a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations, the operations comprising;

collecting sensor data associated with a type of motion of a user from a sensor of a wearable unit;

determining that the sensor data is not in accordance with a movement model;

providing a corrective action via the wearable unit in accordance with the movement model when it is determined that the sensor data is not in accordance with the movement model;

detecting a triggering condition for disengaging the corrective action; and

disengaging the corrective action when the triggering condition is detected.

2. The device of claim 1, wherein the triggering condition comprises an audio input from the user.

3. The device of claim 1, wherein the triggering condition comprises a physical gesture of the user.

4. The device of claim 3, wherein the physical gesture of the user is detected via the sensor.

5. The device of claim 1, wherein the movement model is received from a device deployed within a telecommunication service provider network.

6. The device of claim 1, wherein the movement model is received from a device associated with a caregiver that is authorized by the user.

7. The device of claim 1, wherein the sensor comprises:

a pressure sensor, a magnetometer, a compass, a gyroscope, an accelerometer, a piezoelectric transducer, a magnetic gate, or a light gate.

8. The device of claim 1, wherein the wearable unit includes at least one actuator comprising at least one of:

an electric actuator, a hydraulic actuator, or a variable force solenoid.

9. The device of claim 8, wherein the corrective action is provided via the at least one actuator.

10. The device of claim 1, wherein the device comprises one of:

a mobile endpoint device of the user;

or

a server deployed in a telecommunication network.

11. A non-transitory computer-readable medium storing instructions which, when executed by a processor, cause the processor to perform operations, the operations comprising:

collecting sensor data associated with a type of motion of a user from a sensor of a wearable unit;

determining that the sensor data is not in accordance with a movement model;

providing a corrective action via the wearable unit in accordance with the movement model when it is determined that the sensor data is not in accordance with the movement model;

detecting a triggering condition for disengaging the corrective action; and

disengaging the corrective action when the triggering condition is detected.

12. The non-transitory computer-readable medium of claim 11, wherein the triggering condition comprises an audio input from the user.

13. The non-transitory computer-readable medium of claim 11, wherein the triggering condition comprises a physical gesture of the user.

14. The non-transitory computer-readable medium of claim 13, wherein the physical gesture of the user is detected via the sensor.

15. The non-transitory computer-readable medium of claim 11, wherein the movement model is received from a device deployed within a telecommunication service provider network.

16. The non-transitory computer-readable medium of claim 11, wherein the movement model is received from a device associated with a caregiver that is authorized by the user.

17. The non-transitory computer-readable medium of claim 11, wherein the sensor comprises:

a pressure sensor, a magnetometer, a compass, a gyroscope, an accelerometer, a piezoelectric transducer, a magnetic gate, or a light gate.

18. The non-transitory computer-readable medium of claim 11, wherein the wearable unit includes at least one actuator comprising at least one of:

an electric actuator, a hydraulic actuator, or a variable force solenoid.

19. The non-transitory computer-readable medium of claim 18, wherein the corrective action is provided via the at least one actuator.

20. A method comprising:

collecting, by a processor, sensor data associated with a type of motion of a user from a sensor of a wearable unit;

determining, by the processor, that the sensor data is not in accordance with a movement model;

providing, by the processor, a corrective action via the wearable unit in accordance with the movement model when it is determined that the sensor data is not in accordance with the movement model;

detecting, by the processor, a triggering condition for disengaging the corrective action; and

disengaging, by the processor, the corrective action when the triggering condition is detected.