Intent Prediction and Response Employing Sensing, Networking, and Communication Among Distributed Devices

• US 20080126284A1
• Filed: 09/18/2006
• Published: 05/29/2008
• Est. Priority Date: 09/18/2006
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Mital, Amit, Forbes, Scott C., Sanchez, Russell Irvin
• Granted Patent: US 7,849,041 B2
• Time in Patent Office: Days
• US Class Current: 706/46
• CPC Class Codes: G06V 20/00 Scenes; Scene-specific elements control of digital cameras H04N23/60

Abstract

The present invention provides, among other things, technologies for recognizing sequences of events or patterns of behavior, of predicting intent, need, objectives, purpose, aim, or the like, and responding to the predicted intent. Such technologies includes intent prediction and response (“IPR”) environments and systems, as well as methods for performing aspects IPR. Such technologies may aid in accomplishing tasks more efficiently or in reducing impediments whether they be physical, environmental, social, or the like.

Claims

1. An intent prediction and response system comprising:

an intent prediction and response processor;

an intent model suitable for processing by the intent prediction and response processor;

a means for coupling a sensor to the intent prediction and response processor;

a means for receiving event sequence information for processing by the intent prediction and response processor; and

a means for receiving a profile for processing by the intent prediction and response processor.

2. The system of claim 1 wherein the intent prediction and response processor establishes an intent prediction.

3. The system of claim 1 wherein the intent prediction and response processor establishes an intent response.

4. The system of claim 3 further comprising a means for applying the intent response.

5. The system of claim 1 wherein the intent model is comprised of an intent prediction model and an intent response model.

6. The system of claim 1 wherein the profile is at least one of an entity profile and a role profile.

7. The system of claim 1 further comprising a means of feedback including modification of the intent model or the profile.

8. The system of claim 1 wherein the profile is associated with the event sequence.

9. A method for establishing an intent prediction, the method comprising:

receiving an event sequence;

receiving a profile associated with the event sequence;

applying data from the event sequence and the profile to an intent prediction model; and

establishing an intent prediction based at least in part on the intent prediction model and the data.

10. The method of claim 9 further comprising providing feedback based at least in part on the intent prediction, the feedback including modification of the intent prediction model or the profile.

11. The method of claim 9 wherein the profile is at least one of an entity profile and a role profile.

12. The method of claim 9 further comprising coupling to one or more sensors wherein the data includes information from at least one of the one or more sensors.

13. The method of claim 9 embodied as computer-executable instructions and stored on a computer-readable medium.

14. A method for establishing an intent response, the method comprising:

receiving an intent prediction;

receiving a profile associated with the intent prediction;

applying data from the event sequence and the profile to an intent response model; and

establishing an intent response based at least in part on the intent response model and the data.

15. The method of claim 14 further comprising providing feedback based at least in part on the intent response, the feedback including modification of the intent response model or the profile.

16. The method of claim 14 wherein the profile is at least one of an entity profile and a role profile.

17. The method of claim 14 further comprising coupling to one or more sensors wherein the data includes information from at least one of the one or more sensors.

18. The method of claim 14 embodied as computer-executable instructions and stored on a computer-readable medium.

19. The method of claim 14 further comprising the method of claim 9.

20. The method of claim 19 embodied as computer-executable instructions stored on a computer-readable medium.