SYSTEMS AND METHODS FOR OBTAINING USER FEEDBACK TO MEDIA CONTENT

• US 20150020086A1
• Filed: 02/11/2014
• Published: 01/15/2015
• Est. Priority Date: 07/11/2013
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Chen, Guangshun Gary, Guo, Shengbo, Miller, Jeff
• Application Number:
  US14/178,233
• Publication Number:
  US 20150020086A1
• Time in Patent Office: Days
• US Class Current: 725/12
• CPC Class Codes: H04H 60/33 Arrangements for monitoring the users' behaviour or opinions
• CPC Class Codes: H04H 60/46 for recognising users' preferences
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• 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 21/42203 sound input device, e.g. microphone
• CPC Class Codes: H04N 21/4223 Cameras H04N23/00 takes precedence
• CPC Class Codes: H04N 21/4394 involving operations for analysing the audio stream, e.g. detecting features or characteristics in audio streams arrangements characterised by components specially adapted for monitoring, identification or recognition of audio in broadcast systems H04H60/58
• CPC Class Codes: H04N 21/44008 involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59
• 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 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18

Abstract

Techniques for obtaining user feedback related to media content are provided. Sensor data including motion data captured by a motion sensor while media content is played on a media content terminal device may be received. The sensor data may be analyzed for an indication of one or more personal states of one or more users. The indication of a first personal state may be determined based on the motion data. User preferences may be derived from the user feedback. For example, parts of the media content (e.g., specific video frames or scenes) may be analyzed and various entities or features extracted. The entities or features may be matched against user feedback to derive user preferences at a more granular level.

Claims

1. A system comprising:

at least one processor; and

a memory storing instructions configured to instruct the at least one processor to perform;

receiving sensor data comprising motion data captured by a motion sensor while media content is played on a media content terminal device;

analyzing the sensor data for an indication of one or more personal states of one or more users that occur while the media content is consumed by the one or more users; and

determining an indication of a first personal state based on the motion data.

2. The system of claim 1, wherein the first personal state is associated with user attention on an activity other than consumption of the media content.

3. The system of claim 1, wherein the first personal state is associated with user emotion in response to the media content.

4. The system of claim 1, wherein the sensor data further comprises image data captured by a camera, and the determining an indication of a first personal state is further based on the image data.

5. The system of claim 1, wherein the sensor data further comprises audio data captured by a microphone, and the determining an indication of a first personal state is further based on the audio data.

6. The system of claim 1, the instructions further configured to instruct the at least one processor to perform:

providing personalized media content based on the one or more personal states to the one or more users.

7. The system of claim 6, wherein the providing personalized media content comprises dynamically changing the media content while the media content is being played.

8. The system of claim 6, wherein the providing personalized media content comprises changing the media content for a target audience based on the one or more personal states of the one or more users separate from the target audience.

9. The system of claim 1, the instructions further configured to instruct the at least one processor to perform:

identifying a part of the media content that corresponds in time with when the first personal state occurs while the media content is consumed; and

mapping the part of the media content to the first personal state.

10. The system of claim 9, wherein the identifying the part of the media content and the mapping the part of the media content are performed in real time while the media content is consumed.

11. A method comprising:

receiving sensor data comprising motion data captured by a motion sensor while media content is played on a media content terminal device;

analyzing, by a computer, the sensor data for an indication of one or more personal states of one or more users; and

determining, by the computer, an indication of a first personal state based on the motion data.

12. The method of claim 11, wherein the first personal state is associated with user attention on an activity other than consumption of the media content.

13. The method of claim 11, wherein the first personal state is associated with user emotion in response to the media content.

14. The method of claim 11, wherein the sensor data further comprises image data captured by a camera, and the determining an indication of a first personal state is further based on the image data.

15. The method of claim 11, wherein the sensor data further comprises audio data captured by a microphone, and the determining an indication of a first personal state is further based on the audio data.

16. A non-transitory computer storage medium storing computer-executable instructions that, when executed, cause a computer system to perform a computer-implemented method comprising:

receiving sensor data comprising motion data captured by a motion sensor while media content is played on a media content terminal device;

analyzing the sensor data for an indication of one or more personal states of one or more users; and

determining an indication of a first personal state based on the motion data.

17. The non-transitory computer storage medium of claim 16, wherein the first personal state is associated with user attention on an activity other than consumption of the media content.

18. The non-transitory computer storage medium of claim 16, wherein the first personal state is associated with user emotion in response to the media content.

19. The non-transitory computer storage medium of claim 16, wherein the sensor data further comprises image data captured by a camera, and the determining an indication of a first personal state is further based on the image data.

20. The non-transitory computer storage medium of claim 16, wherein the sensor data further comprises audio data captured by a microphone, and the determining an indication of a first personal state is further based on the audio data.