METHODS AND SYSTEMS FOR MEDIA GUIDANCE APPLICATIONS CONFIGURED TO MONITOR BRAIN ACTIVITY

• US 20150033258A1
• 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:
  US14/038,158
• Publication Number:
  US 20150033258A1
• Time in Patent Office: Days
• US Class Current: 725/38
• 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 a media guidance application that may monitor the brain activity of a user and determine a first brain state of the user based on the brain activity, in which the first brain state corresponds to a first mood. The media guidance application may also select a second brain state that corresponds to a second mood of the user. In response to determining the first brain state does not correspond to the second brain state, the media guidance application may generate a display of a media asset to the user that is associated with inducing the second brain state.

Claims

1. A method of selecting media content in response to brain activity of a user, the method comprising:

monitoring the brain activity of the user;

determining a first brain state based on the brain activity, wherein the first brain state corresponds to a first mood of the user;

selecting a second brain state, wherein the second brain state corresponds to a second mood of the user;

comparing the first brain state to the second brain state to determine whether the first brain state corresponds to the second brain state; and

in response to determining the first brain state does not correspond to the second brain state, generating a display of a media asset to the user, wherein the media asset is associated with inducing the second brain state.

2. 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.

3. The method of claim 2, wherein the electroencephalogram unit or the electromyogram unit is incorporated into a mobile headset, wherein the mobile headset is battery powered.

4. The method of claim 2, further comprising:

cross-referencing the first frequency range of the brain activity of the user with a database associated with frequencies of brain states and corresponding moods to determine the first mood 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 and corresponding moods to determine the first mood.

5. The method of claim 2, wherein comparing the first brain state to the second brain state to determine whether the first brain state corresponds to the second brain state, includes retrieving the first frequency range associated with the first brain state and retrieving a second frequency range associated with the second brain state, and comparing the first frequency range to the second frequency range.

6. The method of claim 2, wherein comparing the first brain state to the second brain state to determine whether the first brain state corresponds to the second brain state, includes retrieving the first electrical activity associated with the first brain state and retrieving a second electrical activity of muscles near the brain of the user at rest and during contraction associated with the second brain state, and comparing the first electrical activity to the second electrical activity.

7. The method of claim 1, wherein generating the display of the media asset to the user further comprises:

cross-referencing the second brain state with a database, wherein the database includes a plurality of previous brain states of the user and corresponding categories of media assets that the user was consuming during each of the previous brain states, and wherein in response to receiving the second brain state, the database outputs a media asset category corresponding to the previous brain state that matches the second brain state; and

selecting the media asset from the outputted media asset category.

8. The method of claim 1, further comprising determining the first brain state of the user in response to detecting a change in the brain activity of the user while monitoring the brain activity of the user.

9. The method of claim 1, wherein the second brain state is selected based on a current time, a user input, a current activity, or a preferred biorhythmic pattern associated with the user.

10. The method of claim 9, wherein the preferred biorhythmic pattern is a user-selected pattern of brain activity over a user-selected portion of time.

11. A system of selecting media content in response to brain activity of a user, the system comprising control circuitry configured to:

monitor the brain activity of the user,

determine a first brain state based on the brain activity, wherein the first brain state corresponds to a first mood of the user;

select a second brain state, wherein the second brain state corresponds to a second mood of the user;

compare the first brain state to the second brain state to determine whether the first brain state corresponds to the second brain state; and

in response to determining the first brain state does not correspond to the second brain state, generate a display of a media asset to the user, wherein the media asset is associated with inducing the second brain state.

12. The system of claim 11, 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.

13. The system of claim 12, wherein the electroencephalogram unit or the electromyogram unit is incorporated into a mobile headset, wherein the mobile headset is battery powered.

14. The system of claim 12, 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 and corresponding moods to determine the first mood 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 and corresponding moods to determine the first mood.

15. The system of claim 12, wherein the control circuitry configured to compare the first brain state to the second brain state to determine whether the first brain state corresponds to the second brain state is further configured to retrieve the first frequency range associated with the first brain state and retrieve a second frequency range associated with the second brain state, and compare the first frequency range to the second frequency range.

16. The system of claim 12, wherein the control circuitry configured to compare the first brain state to the second brain state to determine whether the first brain state corresponds to the second brain state is further configured to retrieve the first electrical activity associated with the first brain state and retrieve a second electrical activity of muscles near the brain of the user at rest and during contraction associated with the second brain state, and compare the first electrical activity to the second electrical activity.

17. The system of claim 11, wherein the control circuitry configured to generate the display of the media asset to the user is further configured to:

cross-reference the second brain state with a database, wherein the database includes a plurality of previous brain states of the user and corresponding categories of media assets that the user was consuming during each of the previous brain states, and wherein in response to receiving the second brain state, the database outputs a media asset category corresponding to the previous brain state that matches the second brain state; and

select the media asset from the outputted media asset category.

18. The system of claim 11, wherein the control circuitry is further configured to determine the first brain state of the user in response to detecting a change in the brain activity of the user while monitoring the brain activity of the user.

19. The system of claim 11, wherein the second brain state is selected based on a current time, a user input, a current activity, or a preferred biorhythmic pattern associated with the user.

20. The system of claim 19, wherein the preferred biorhythmic pattern is a user-selected pattern of brain activity over a user-selected portion of time.

21-40. -40. (canceled)