Intelligent location-based services

• US 7,996,019 B2
• Filed: 12/26/2006
• Issued: 08/09/2011
• Est. Priority Date: 12/26/2006
• Status: Active Grant

• Current Assignee: Google Technology Holdings LLC (Alphabet Inc.)
• Original Assignee: Motorola Mobility, Inc. (Lenovo Group Ltd.)
• Inventors: Kale, Kaustubh, Buszko, Dominik
• Primary Examiner(s): Nguyen; David Q
• Application Number:
  US11/616,111
• Publication Number:
  US 20080153512A1
• Time in Patent Office: 1,687 Days
• Field of Search: 455/456.3, 455/456.1, 455/414, 707/10
• US Class Current: 455/456.3
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

A method (500) for dynamically providing location-based services based, at least in part, on time (114), current detected information (116, 118), historical information (124, 126), contextual information (128), user preferences (120, 130) and/or a user input (122).

Claims

1. A method for dynamically providing location-based services, comprising:

automatically identifying, by a controller, at least one user pattern of a user, wherein identifying the at least one user pattern comprises identifying a particular route traveled by the user;

storing, by the controller, historical information that corresponds to the user pattern; and

responsive to detecting at least one parameter that corresponds to the historical information, processing, by the controller, the historical information to retrieve location-based service information that corresponds to the identified user pattern, wherein detecting the parameter that corresponds to the historical information comprises detecting that the user is currently traveling along the particular route traveled before at least once by the user.

2. The method of claim 1, wherein identifying the user pattern further comprises identifying a location visited by the user along the particular route at a particular time.

3. The method of claim 2, wherein detecting the parameter that corresponds to the historical information further comprises detecting that the user is currently at the identified location along the particular route traveled before at least once by the user.

4. The method of claim 1, wherein identifying the user pattern further comprises identifying a location visited by the user along the particular route more than once at a particular time of day, on a particular day of a week, on a particular day of a month, or on a particular day of a year.

5. The method of claim 4, wherein detecting the parameter that corresponds to the historical information further comprises detecting the particular time of day, the particular day of the week, the particular day of the month, or the particular day of the year.

6. The method of claim 1, wherein:

identifying the user pattern further comprises identifying a motion parameter associated with the user along the particular route; and

detecting the parameter that corresponds to the historical information further comprises detecting the motion parameter currently associated with the user along the particular route traveled before at least once by the user.

7. The method of claim 1, wherein:

identifying the user pattern further comprises identifying a particular mode of transportation used by the user along the particular route; and

detecting the parameter that corresponds to the historical information further comprises detecting that the user is currently using the particular mode of transportation along the particular route traveled before at least once by the user.

8. The method of claim 1, further comprising processing at least one user preference to retrieve the location-based service information that corresponds to the identified user pattern.

9. A system that dynamically provides location-based services, comprising:

a controller that automatically identifies at least one user pattern of a user by identifying a particular route traveled by the user, stores historical information that corresponds to the user pattern and, responsive to detecting at least one parameter that corresponds to the historical information by detecting that the user is currently traveling along the particular route traveled before at least once by the user, processes the historical information to retrieve location-based service information that corresponds to the identified user pattern.

10. The system of claim 9, wherein the controller identifies the user pattern by identifying a location visited by the user along the particular route at a particular time.

11. The system of claim 9, wherein the controller detects the parameter that corresponds to the historical information by detecting that the user is currently at the identified location along the particular route traveled before at least once by the user.

12. The system of claim 9, wherein the controller identifies the user pattern by identifying a location visited by the user along the particular route more than once at a particular time of day, on a particular day of a week, on a particular day of a month, or on a particular day of a year.

13. The system of claim 12, wherein the controller detects the parameter that corresponds to the historical information by detecting the particular time of day, the particular day of the week, the particular day of the month, or the particular day of the year.

14. The system of claim 9, wherein the controller identifies the user pattern by identifying a motion parameter associated with the user along the particular route.

15. The system of claim 14, wherein the controller detects the parameter that corresponds to the historical information by detecting the motion parameter currently associated with the user along the particular route traveled before at least once by the user.

16. The system of claim 9, wherein the controller identifies the user pattern by identifying a particular mode of transportation used by the user along the particular route.