System and Method for Personalized Media Rating and Related Emotional Profile Analytics

• US 20120290508A1
• Filed: 11/07/2011
• Published: 11/15/2012
• Est. Priority Date: 05/09/2011
• Status: Active Grant

• Current Assignee: Anurag Bist
• Original Assignee: Anurag Bist
• Inventors: Bist, Anurag
• Granted Patent: US 9,026,476 B2
• Time in Patent Office: Days
• US Class Current: 706/10
• CPC Class Codes: G06F 16/437 Administration of user profiles, e.g. generation, initialisation, adaptation, distribution
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/04 Inference or reasoning models

Abstract

A system and a method for generating an emotional profile of the user and deriving inference from the analytics of generated emotional profile is provided. The method involves sharing media content or online event in a connected environment; capturing user'"'"'s reaction to the said content or event; generating an emotional score of the user to rate the media content or event; and sharing the emotional score within the connected environment.

Claims

1. A system for generating an emotional profile of the user and deriving inference from the analytics of profile comprising:

a client device having a detector to capture user'"'"'s inputs;

an interface allowing user to interact with online events or content;

a module to collect the emotional footprint of the user to generate an emotional score corresponding to the events or content;

a repository to store the emotional score of associated content or event; and

a server configured with a plurality of client devices in a network to communicate the emotional score to networked devices.

2. The system of claim 1 wherein the client device is selected from a group consisting of a mobile phone, a Smartphone, a laptop, a camera with WiFi connectivity, a desktop, a tablet computer, or any other sensory device with connectivity.

3. The system of claim 1 wherein the detector captures the user'"'"'s input in form of auditory, visual, text, location based, sensory, haptic, tactile or other stimulus based signals that designate the emotions, behavior, response or reaction of the user.

4. The system of claim 1 wherein the detector comprises a single module or plurality of modules to capture the input data from the individual;

to process the input data for feature extraction; and

to conduct a decision phase.

5. The system of claim 1, wherein the user'"'"'s profile is shared in the network based on a predefined set of rules.

6. The system of claim 1 wherein the generated profile is stored in different versions or formats at a central repository and is communicated to a plurality of client devices in the network.

7. A method for rating and sharing user'"'"'s emotional reaction for content and media in a connected environment comprising:

distributing at least one online content or media piece over a connected network of client devices;

capturing a user'"'"'s input in the form of a change in response in the user'"'"'s reaction to the online content or media piece;

processing the user'"'"'s input to generate an emotional score associated with the user as well as the said content or media;

communicating the emotional score to a central database in the cloud network;

providing metadata to associate this emotional score with the user and the related content or media; and

sharing the emotional score within the user'"'"'s network.

8. The method of claim 7, wherein the online content or event is distributed among a plurality of the client devices configured with a server in the network through internet or Local Area Network.

9. The method of claim 7, wherein the user'"'"'s input are in form of auditory, visual, text, location based, sensory, haptic, tactile or other stimulus based signals.

10. The method of claim 7, wherein the user'"'"'s profile is communicated to the central repository in the network wherein the repository is located in a plurality of geographical locations and connected to a plurality of individuals in the network.

11. The method of claim 7 wherein the metadata provides link to the user information, content being watched, time the content was watched, and any other associated data linking the user, the content watched and the emotional score generated.

12. The method of claim 7 wherein the media content is recommended to the user by analyzing the emotional score of the user, the user'"'"'s networks, and the analytics associated with other similar content of a media repository.

13. The method of claim 7 wherein a user predicts the emotional score of other users for a particular content and asks the other users to rate the content.

14. The method of claim 7 wherein a user invites other users or engages with other users to get Emotional Scores of a specific content, to give Emotional Scores of specific content, or to gauge the performance of a particular content scored by a specific segment of the users.

15. A method for deriving inferences from analytics of personalized emotional profile of a user in an interactive application comprising:

an interface that enables user to interact with each other in a connected on-line infrastructure;

capturing data on user'"'"'s behavior during the interaction;

creating a base line profile representing average emotional behavior of the user in reaction to all experienced events;

capturing an instantaneous reaction of the user in a running event;

comparing the instantaneous reaction of user with the baseline profile;

predicting the deviation of the user'"'"'s reaction with the baseline profile.

16. The method of claim 16 wherein the said interface includes an on-line conversation service, web conferencing, online advertisements and online videos.

17. The method of claim 16 wherein the said data on user'"'"'s behavior is captured in form of auditory, visual, text, location based, sensory, haptic, tactile or other stimulus based signals.

18. The method of claim 16 wherein the baseline profile is created by continuous collection of user'"'"'s behavior data during his past interactions with the given event.

19. The method of claim 16 wherein the deviation of the user'"'"'s reaction is measured by a metric that measure variation of voice, video, haptic, gesture, tactile or other sensory inputs with the baseline profile.

20. The method of claim 16 wherein the deviation of the user from the base line profile is used in gaming, conferencing and other online applications to predict the reaction of the user.