Activity classification from route and sensor-based metadata

• US 7,668,691 B2
• Filed: 08/29/2007
• Issued: 02/23/2010
• Est. Priority Date: 08/29/2007
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Counts, Scott J., Jacobs, Andrew W., Smith, Marc A.
• Primary Examiner(s): Barbee; Manuel L
• Application Number:
  US11/846,818
• Publication Number:
  US 20090063099A1
• Time in Patent Office: 909 Days
• Field of Search: 702/127, 702/141, 702/142, 702/149, 702/150, 702152-154, 702/160, 702/176, 702/178, 600/587, 600/595, 340/990, 340/995.19, 340/995.21, 340/286.14, 701/209, 701/210
• US Class Current: 702/150
• CPC Class Codes: G01C 21/20 Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence

Abstract

Systems and methods that infer and classify user activity based in part on routing data. A storage medium can store raw data collected, and such acquired data can be subsequently be analyzed or distilled to generate abstract qualities about the raw data (e.g., velocity of user during route, level of difficulty, and the like). Various machine learning techniques, artificial intelligence methodologies, decision trees, and/or statistical methods can be employed to supply inference regarding the acquired raw data and/or the abstract qualities.

Claims

1. A computer implemented system comprising:

a processor;

a collection component executable by the processor to receive route data collected during user activities;

an analysis engine executable by the processor to infer the user activities based in part on the route data;

a search component executable by the processor to receive a search request to search the route data, the inferred user activities, or a combination thereof; and

a presentation component executable by the processor to supply a proposed route in response to receiving the search request, wherein the proposed route is based on the route data, the inferred user activities, user preferences, or a combination thereof.

2. The computer implemented system of claim 1 further comprising a classification system executable by the processor to facilitate generation of abstractions regarding collected route data.

3. The computer implemented system of claim 2, the route data includes elevation.

4. The computer implemented system of claim 1 further comprising a contextualization component executable by the processor to facilitate generation of metadata for the route data.

5. The computer implemented system of claim 4, the metadata includes biometric or physiological data or a combination thereof.

6. The computer implemented system of claim 5 wherein the biometric data, the physiological data or the combination thereof is obtained by sensors attachable to a user'"'"'s body.

7. The computer implemented system of claim 1, wherein the route data is collected by one or more computing devices with GPS capabilities, TDOA capabilities, or a combination thereof.

8. The computer implemented system of claim 1 further comprising an artificial intelligence component executable by the processor to facilitate inference of the user activities.

9. A computer implemented method comprising the following computer executable acts:

receiving, by a server computer, routing data collected during activities of a plurality of users;

inferring, by the server computer, the plurality of activities based on the routing data;

receiving, by the server computer, a request from a computing device of a particular user to search the routing data, the inferred activities of the plurality of users, or a combination thereof; and

supplying, by the server computer, a proposed route to the computing device, wherein the proposed route is based on the inferred activities of the plurality of users, the routing data, user preferences, or a combination thereof.

10. The computer implemented method of claim 9 further comprising classifying, by the server computer, the activities of the plurality of users based on elevation data.

11. The computer implemented method of claim 9 further comprising receiving, by the server computer, physiological or biometric data from a user'"'"'s body collected during at least one of the activities.

12. The computer implemented method of claim 9 further comprising employing, the server computer, a probabilistic or a statistical based analysis or a combination thereof to infer the activities of the plurality of users.

13. The computer implemented method of claim 9 further comprising inferring, by the server computer, the activities of the plurality of users based on classifiers.

14. The computer implemented method of claim 9 further comprising searching, by the server computer, for a route based on physiological data.

15. The computer implemented method of claim 9 further comprising receiving, by the server computer, the route data in an XML file.

16. The computer implemented method of claim 9 further comprising annotating, by the server computer, the routing data.

17. A computer implemented system comprising the following computer executable components:

a processor;

means executable by the processor for receiving routing data collected during activities of a plurality of users;

means executable by the processor for inferring the activities of the plurality of users based on the routing data;

means executable by the processor for receiving biological data of at least one user, wherein the biological data is related to one or more of the activities;

means executable by the processor for inferring a level of difficulty of each of the one or more of the activities based on the routing data and the biological data;

means executable by the processor for receiving a request from a computing device of a particular user to search the routing data, the inferred activities of the plurality of users, the biological data, or a combination thereof; and

means executable by the processor for supplying a proposed route to the computing device, wherein the proposed route is based on the routing data, the inferred activities of the plurality of users, and the biological data.