Method and system for improving personal productivity in home environments

• US 8,620,846 B2
• Filed: 01/21/2010
• Issued: 12/31/2013
• Est. Priority Date: 01/21/2010
• Status: Active Grant

• Current Assignee: Telcordia Technologies Incorporated (Telefonaktiebolaget LM Ericsson)
• Original Assignee: Telcordia Technologies Incorporated (Telefonaktiebolaget LM Ericsson)
• Inventors: Falchuk, Benjamin, Loeb, Shoshana K.
• Primary Examiner(s): CHEN, ALAN S
• Application Number:
  US12/691,077
• Publication Number:
  US 20110178969A1
• Time in Patent Office: 1,440 Days
• Field of Search: None
• US Class Current: 706/45
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26

Abstract

Method and system for improving personal productivity in home environments may store state information associated with an environment and one or more users in a knowledge base, detected activity of a user, infer location of the user based on the detected activity, and suggest one or more tasks to be performed based on the inferred user location.

Claims

1. A system for improving personal productivity in an environment, comprising:

a processor;

a knowledge base operable to store state information, rules, attributes and associations, associated with an environment, objects associated with the environment, and one or more users; and

a server module operable to detect activity of a user and infer location of the user, the server module further operable to suggest one or more tasks to be performed based on the detected activity or inferred user location or combinations thereof;

wherein the knowledge base is modeled according to an ontology specification that captures the semantics of users, objects, locations, tasks, and actions that comprise tasks.

2. The system of claim 1, further including:

a mobile device co-located with a user and operable to receive one or more user input commands and communicate the one or more user input commands to the server module.

3. The system of claim 2, wherein the one or more user input commands include voice commands, input via a user interface input, or combinations thereof.

4. The system of claim 1, further including:

a plurality of sensors operable to report presence of the user at a location in the environment.

5. The system of claim 4, wherein the plurality of sensors are operable to detect user activity.

6. The system of claim 4, wherein the plurality of sensors are operable to wirelessly communicate information to the server module.

7. The system of claim 1, wherein the server module is operable to infer the location of the user to within a particular certainty based on last received user input command and information stored in the knowledge base.

8. The system of claim 1, wherein the activity of the user includes voice commanding, moving, putting objects, taking objects, performing tasks, or combinations thereof.

9. The system of claim 1, wherein the server module is further operable to update the knowledge base with information associated with the detected activity, inferred location, or combinations thereof, and trigger one or more actions.

10. The system of claim 1, wherein the suggested one or more tasks to be performed based on the inferred user location are for completion of one or more of a user'"'"'s long term goals.

11. The system of claim 1, wherein the server is further operable to determine future one or more tasks to be performed and a time at which to send a notification to perform the determined future one or more tasks, based on the detected activity or inferred location or combinations thereof.

12. The system of claim 1, wherein the state information associated with the environment includes environment'"'"'s layout, one or more objects in the environment, environment'"'"'s relationship with the one or more objects, and objects'"'"' relationships among the one or more objects and users.

13. The system of claim 1, wherein the server is operable to infer the location based partly on pedometer output counting one or more steps the user has taken since a given past state.

14. The system of claim 1, wherein the server is further operable to receive feedback associated with the one or more suggestions provided to the user.

15. The system of claim 1, wherein the server is further operable to locate an object based on the detected activity, the inferred location, or combinations thereof.

16. A method of improving personal productivity in an environment, comprising:

storing state information associated with an environment and one or more users in a knowledge base,

detecting activity of a user;

inferring location of the user based on the detected activity; and

suggesting one or more tasks to be performed based on the inferred user location;

wherein the state information is stored according to an ontology specification that captures the semantics of users, objects, locations, tasks, and actions that comprise tasks.

17. A non-transitory computer readable storage medium storing a program of instructions executable by a machine to perform a method of improving personal productivity in an environment, comprising:

storing state information associated with an environment and one or more users in a knowledge base, wherein the knowledge base is modeled according to an ontology specification that captures the semantics of users, objects, locations, tasks, and actions that comprise tasks;

detecting activity of a user;

inferring location of the user based on the detected activity; and

suggesting one or more tasks to be performed based on the inferred user location.

18. The non-transitory computer readable storage medium of claim 17, wherein the inferring location includes using the state information associated with the environment and the detected activity of the user to infer current location of the user.

19. The non-transitory computer readable storage medium of claim 17, wherein the detecting activity includes sensing user present using a plurality of sensors distributed in the environment.

20. The non-transitory computer readable storage medium of claim 17, wherein the detecting activity includes receiving user input commands.

21. The non-transitory computer readable storage medium of claim 17, wherein the state information is stored according to an ontology specification.

22. The non-transitory computer readable storage medium of claim 17, wherein the activity of the user includes voice command, movement, put action, take action, or a task performance, or combinations thereof.

23. The non-transitory computer readable storage medium of claim 17, wherein the detecting activity includes receiving user input commands via a mobile device co-located with the user.

24. The non-transitory computer readable storage medium of claim 23, wherein the user input commands include voice commands, input via a user interface input, or combinations thereof.

25. The non-transitory computer readable storage medium of claim 17, further including:

determining one or more future tasks the user should perform based on the detected activity and the inferred location;

determining a time at which to send a notification to the user to perform the determined one or more future tasks.

26. The non-transitory computer readable storage medium of claim 17, further including:

receiving feedback associated with the suggesting.