BIOPOTENTIAL WAKEUP WORD

• US 20190155226A1
• Filed: 11/21/2017
• Published: 05/23/2019
• Est. Priority Date: 11/21/2017
• Status: Active Grant

• Current Assignee: Drowsy Digital Incorporated
• Original Assignee: Bose Corporation
• Inventors: Trott, Christian A., Mulhearn, Christopher J., Hetherman, Brian J., Daley, Michael J.
• Granted Patent: US 10,488,831 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/398 Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: G05B 13/0265 the criterion being a learning criterion
• CPC Class Codes: G06F 3/013 Eye tracking input arrangements G06F3/015 takes precedence
• CPC Class Codes: G06F 3/015 Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
• 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 3/167 Audio in a user interface, e.g. using voice commands for navigating, audio feedback
• CPC Class Codes: H04R 1/1041 Mechanical or electronic switches, or control elements switches in general H01H

Abstract

Aspects of the present disclosure provide a product configured to obtain biological signals associated with a user. The biological signals may be used to trigger the product of an upcoming, separate command. The product may take action based on the received command. As described herein, the biological signals may comprise a change in electrical potential of a user, such as an EMG, EEG, or EOG signal. The separate command may be other biological signals, a voice command, or a gesture. The product may be configured to control itself and/or a device external to the product.

Claims

1. A product comprising:

a processor configured to;

detect a learned pattern of bio-signals associated with a user of the product;

receive a separate command from the user after detecting the pattern of bio-signals, wherein the detected pattern of bio-signals triggers the processor to attempt to receive the separate command; and

take action based on the received command.

2. The product of claim 1, wherein the bio-signals comprise one of an electromyogram (EMG), electrooculogram (EOG), or electroencephalogram (EEG) signal.

3. The product of claim 1, wherein the bio-signals comprise a time-varying electrical potential associated with the user of the product.

4. The product of claim 1, wherein the received command comprises at least a second bio-signal from the user.

5. The product of claim 1, wherein the received command comprises one of a gesture from the user or a voice command from the user.

6. The product of claim 1, wherein the received command comprises eye movement associated with the user.

7. The product of claim 1, further comprising:

a communication unit configured to communicate with a device external to the product,

wherein the processor configured to take the action is configured to control the device external to the product via the communication unit.

8. The product of claim 1, wherein the processor configured to take the action is configured to adjust a volume of an output played by the product, enter a low power state at the product, or change an output of the product.

9. The product of claim 1, wherein the processor configured to detect the learned pattern of bio-signals is configured to learn the pattern via training with the user.

10. A product comprising:

a first electrode;

a second electrode;

a processor coupled to the first and second electrodes, wherein the processor is configured to;

detect a learned pattern of signals collected via the first and second electrodes;

in response to the detection, receive a separate command, wherein the detected pattern triggers the processor to attempt to receive the separate command; and

take action to control one of the product or a device external to the product based on the command.

11. The product of claim 10, wherein the signals comprise an electromyogram (EMG), electrooculogram (EOG), or electroencephalogram (EEG) associated with a user of the product.

12. The product of claim 10, wherein the command comprises one of an electromyogram (EMG), electrooculogram (EOG), or electroencephalogram (EEG) of a user of the product.

13. The product of claim 10, wherein the command comprises one of voice or movement associated with a user of the product.

14. The product of claim 10, wherein the processor configured to take the action is configured to one of:

adjust a volume of an output played by the product, enter a low power state at the product, or change an output of the product.

15. The product of claim 10, wherein the processor configured to take the action is configured to change a mode of operation of the product.

16. A method performed by a system, comprising:

detecting a pattern of bio-signals associated with a user of the system;

receiving a separate command from the user after detecting the bio-signals, wherein the detected pattern of bio-signals trigger attempting to receive the separate command; and

taking action based on the received command.

17. The method of claim 16, wherein:

the detecting is performed by a first device of the system, and

the receiving and the taking action are performed by a second device of the system.

18. The method of claim 16, wherein the bio-signals comprise one of an electromyogram (EMG), electrooculogram (EOG), or electroencephalogram (EEG) signal.

19. The method of claim 16, wherein the separate command comprises a pattern of electrical potential associated with the user of the product.

20. The method of claim 16, further comprising:

performing a machine-learned pattern recognition training with the user,

wherein the detecting is based, at least in part, on the training.