METHODS AND SYSTEMS FOR ADJUSTING POWER CONSUMPTION IN A USER DEVICE BASED ON BRAIN ACTIVITY

• US 20150029087A1
• Filed: 09/26/2013
• Published: 01/29/2015
• Est. Priority Date: 07/24/2013
• Status: Abandoned Application

• Current Assignee: UV Corporation (Adeia Inc.)
• Original Assignee: United Video Properties Incorporated (Adeia Inc.)
• Inventors: Klappert, Walter R., Nichols, Michael R., Shimy, Camron, Wagner, William, Chen, Yinghsueh, Stathacopoulos, Paul
• Application Number:
  US14/037,984
• Publication Number:
  US 20150029087A1
• Time in Patent Office: Days
• US Class Current: 345/156
• CPC Class Codes: A61B 5/1103 Detecting eye twinkling
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/375 using biofeedback
• 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 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• 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: H04N 21/41265 having a remote control device for bidirectional communication between the remote control device and client device unidirectional remote control device H04N21/42204
• CPC Class Codes: H04N 21/42201 biosensors, e.g. heat sensor for presence detection, EEG sensors or any limb activity sensors worn by the user input arrangements for interaction with the human body based on nervous system activity detection G06F3/015
• CPC Class Codes: H04N 21/42206 characterized by hardware details
• CPC Class Codes: H04N 21/42222 Additional components integrated in the remote control device, e.g. timer, speaker, sensors for detecting position, direction or movement of the remote control, microphone or battery charging device
• CPC Class Codes: H04N 21/4314 for fitting data in a restricted space on the screen, e.g. EPG data in a rectangular grid
• CPC Class Codes: H04N 21/4316 for displaying supplemental content in a region of the screen, e.g. an advertisement in a separate window
• CPC Class Codes: H04N 21/4333 Processing operations in response to a pause request
• CPC Class Codes: H04N 21/4334 Recording operations recording of a television signal H04N5/76; arrangements for recording or accumulating broadcast information or broadcast-related information H04H60/27
• CPC Class Codes: H04N 21/44218 Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program methods or arrangements for recognising human body or animal bodies or body parts G06V40/10; methods or arrangements for acquiring or recognising human faces, facial parts, facial sketches, facial expressions G06V40/16; methods or arrangements for recognising movements or behaviour G06V40/20; arrangements for identifying users in broadcast systems H04H60/45
• CPC Class Codes: H04N 21/443 OS processes, e.g. booting an STB, implementing a Java virtual machine in an STB or power management in an STB
• CPC Class Codes: H04N 21/4436 : Power management, e.g. shutting down unused components of the receiver power management in computer systems G06F1/3203; hibernate or awake process in computer systems G06F9/4418
• CPC Class Codes: H04N 21/4668 : for recommending content, e.g. movies
• CPC Class Codes: H04N 21/482 : End-user interface for program selection broadcast systems using EPGs H04H60/72
• CPC Class Codes: H04N 21/4852 : for modifying audio parameters, e.g. switching between mono and stereo

Abstract

Methods and systems are disclosed herein for adjusting power consumption and/or sensitivity levels of a user device based on the current brain activity of a user. For example, a media guidance application implemented on a user device may monitor brain activity of a user. In response to determining particular brain activity (e.g., associated with the inactivity of the user), the media guidance application may initiate a stand-by mode in order to reduce power consumption.

Claims

1. A method for managing power consumption of a user device based on brain activity of a user, the method comprising:

receiving a user request to monitor the brain activity of the user with a user device, wherein the user device operates in a first mode and a second mode, and wherein the first mode is associated with a first power consumption level and the second mode is associated with a second power consumption level;

in response to the user request, monitoring the brain activity of the user with the user device in the first mode; and

in response to detecting the brain activity of the user does not correspond to a threshold range, changing from the first mode to the second mode and monitoring the brain activity of the user with the user device in the second mode.

2. The method of claim 1, wherein the change in the brain activity of the user corresponds to a change in an attentiveness level of a user.

3. The method of claim 1, wherein monitoring the brain activity of the user with the user device further comprises monitoring a region of a brain of a user associated with an attentiveness level of the user.

4. The method of claim 1, wherein the user device is more sensitive to the brain activity of the user in the first mode than in the second mode.

5. The method of claim 1, wherein monitoring the brain activity of the user further comprises receiving data from an electroencephalogram unit indicating a first frequency range of the brain activity of the user or receiving data from an electromyogram unit indicating first electrical activity of muscles near a brain of the user at rest and during contraction.

6. The method of claim 5, wherein the electroencephalogram unit or the electromyogram unit is incorporated into a mobile headset, wherein the mobile headset is battery powered.

7. The method of claim 5, further comprising:

cross-referencing the first frequency range of the brain activity of the user with a database associated with frequencies of brain states to determine a first brain state or cross-referencing the first electrical activity of the muscles near the brain of the user with a database associated with electrical activity of brain states to determine the first brain state.

8. The method of claim 7, wherein detecting the change in the brain activity of the user corresponds to the user achieving the first brain state.

9. The method of claim 8, wherein the first brain state is associated with a mood of the user.

10. The method of claim 1, wherein the user request comprises an eye blink pattern.

12. The system of claim 1, wherein the change in the brain activity of the user corresponds to a change in an attentiveness level of a user.

13. The system of claim 1, wherein the control circuitry configured to monitor the brain activity of the user with the user device is further configured to monitor a region of a brain of a user associated with an attentiveness level of the user.

14. The system of claim 1, wherein the user device is more sensitive to the brain activity of the user in the first mode than in the second mode.

15. The system of claim 1, wherein the control circuitry configured to monitor the brain activity of the user is further configured to receive data from an electroencephalogram unit indicating a first frequency range of the brain activity of the user or receive data from an electromyogram unit indicating first electrical activity of muscles near a brain of the user at rest and during contraction.

16. The system of claim 15, wherein the electroencephalogram unit or the electromyogram unit is incorporated into a mobile headset, wherein the mobile headset is battery powered.

17. The system of claim 15, wherein the control circuitry is further configured to:

cross-reference the first frequency range of the brain activity of the user with a database associated with frequencies of brain states to determine a first brain state or cross-reference the first electrical activity of the muscles near the brain of the user with a database associated with electrical activity of brain states to determine the first brain state.

18. The system of claim 17, wherein the change in the brain activity of the user corresponds to the user achieving the first brain state.

19. The system of claim 18, wherein the first brain state is associated with a mood of the user.

11. A system for managing power consumption of a user device based on brain activity of a user, the system comprising control circuitry configured to:

receive a user request to monitor the brain activity of the user with a user device, wherein the user device operates in a first mode and a second mode, and wherein the first mode is associated with a first power consumption level and the second mode is associated with a second power consumption level;

in response to the user request, monitor the brain activity of the user with the user device in the first mode; and

in response to detecting the brain activity of the user does not correspond to a threshold range, change from the first mode to the second mode and monitor the brain activity of the user with the user device in the second mode.

20. The system of claim 11, wherein the user request comprises an eye blink pattern.

21-40. -40. (canceled)