SYSTEM FOR PROVIDING PERSONALIZED INFORMATION AND METHOD OF PROVIDING THE PERSONALIZED INFORMATION

• US 20150330805A1
• Filed: 05/15/2015
• Published: 11/19/2015
• Est. Priority Date: 05/15/2014
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: NA, Il-kang, PARK, Sun-eung, PARK, Hyun-cheol, UM, Tae-kwang, HWANG, Cheol-ju, YANG, Ji-won, CHO, Ho-sik, SONG, Jeong-jin
• Granted Patent: US 9,631,944 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3611 using character input or menus, e.g. menus of POIs character input methods in general G06F3/0233
• CPC Class Codes: G01C 21/3641 Personalized guidance, e.g. limited guidance on previously travelled routes
• CPC Class Codes: G01C 21/3644 Landmark guidance, e.g. using POIs or conspicuous other objects
• CPC Class Codes: G01C 21/3664 Details of the user input interface, e.g. buttons, knobs or sliders, including those provided on a touch screen; remote controllers; input using gestures
• CPC Class Codes: G01C 21/3676 Overview of the route on the road map
• CPC Class Codes: G01C 21/3679 Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities G01C21/3611 takes precedence
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

A system and method for providing location-based personalized information by using user location history information, whereby battery consumption of a computing device is reduced. The computing device includes: a location finder configured to obtain user location information of a user of the computing device; a display configured to display information indicating a route of the user of the computing device; and a controller configured to track a location of the user by controlling the location finder as the controller senses a change in the location of the user based on the obtained user location information, obtain information corresponding to an initial route of the user based on the tracked location of the user, detect a predicted route of the user from user location history information based on the information corresponding to the initial route of the user, and display on the display unit the predicted route.

Claims

1. A computing device comprising:

a location finder configured to obtain location information of a user of the computing device;

a display configured to display information indicating a route of the user of the computing device; and

a controller configured to;

track a location of the user by sensing a change in the location of the user based on the obtained location information of the user,

obtain information corresponding to an initial route of the user based on the tracked location of the user,

determine a predicted route of the user based on the information corresponding to the initial route of the user and past location information of the user, and

display the predicted route on the display.

2. The computing device of claim 1,

wherein after displaying the predicted route on the display, the controller is further configured to:

control the location finder to track a route of the user by varying an interval of measuring the location of the user based on at least one of a moving speed of the user, surrounding environment information of the user, and the predicted route, and

update the past location information of the user based on the tracked route of the user.

3. The computing device of claim 1, wherein the controller is further configured to control the location finder to obtain the initial route by varying an interval of measuring the location of the user based on at least one of a moving speed of the user and surrounding environment information of the user.

4. The computing device of claim 1, wherein if the predicted route is not determined from the past location information of the user based on the initial route, the controller is further configured to control the location finder to track the route of the user by varying an interval of measuring the location of the user based on at least one of a moving speed and surrounding environment information of the user, and update the past location information of the user based on the tracked route of the user.

5. The computing device of claim 1, wherein the controller is further configured to display personalized information about the user on the display based on the predicted route and profile information of the user.

6. The computing device of claim 5, wherein the controller is further configured to display recommendation information on the display including at least one item of recommended content based on profile information of a place adjacent to the predicted route and the profile information of the user.

7. The computing device of claim 6, wherein the recommended content includes a theme item.

8. The computing device of claim 6, wherein the controller is further configured to provide the recommended content in a form of a map or a notification.

9. The computing device of claim 5, wherein the controller is further configured to detect regional information about a region adjacent to the predicted route, wherein the regional information includes information about where a group of people is active at a current time, and display the detected regional information on the display.

10. The computing device of claim 5, wherein the controller is further configured to detect a usage count of the user on the predicted route from the past location information of the user, and display on the display the personalized information according to the detected usage count.

11. A method of providing personalized information, performed by a computing device, the method comprising:

obtaining information about an initial route of a user by tracking a location of the user by sensing a change in the location of the user;

determining a predicted route of the user based on the information corresponding to the initial route of the user and past location information of the user; and

displaying the predicted route on a display of the computing device.

12. The method of claim 11, further comprising, after displaying the predicted route on the display,

tracking a route of the user by varying an interval of measuring the location of the user based on at least one of a moving speed of the user, surrounding environment information of the user, and the predicted route;

and

updating the past location information of the user based on the tracked route of the user.

13. The method of claim 11, wherein the obtaining information about the initial route of the user comprises obtaining information about the initial route of the user while varying an interval of measuring the location of the user based on at least one of a moving speed of the user and surrounding environment information of the user.

14. The method of claim 11, wherein, if the predicted route is not determined from the past location information of the user based on the initial route of the user, the method comprises:

tracking the route of the user by varying an interval of measuring the location of the user based on at least one of a moving speed of the user and surrounding environment information of the user; and

updating the past location information of the user based on the tracked route of the user.

15. The method of claim 11, further comprising providing personalized information about the user based on the predicted route and profile information of the user.

16. The method of claim 15, wherein the providing of personalized information about the user further comprises providing recommendation information including at least one item of recommended content based on profile information of a place adjacent to the predicted route and the profile information of the user.

17. The method of claim 16, wherein the recommended content includes a theme item.

18. The method of claim 16, further comprising providing the recommended content in a form of a map or a notification.

19. The method of claim 15, wherein the providing of personalized information about the user further comprises:

detecting regional information about a region adjacent to the predicted route wherein the regional information includes information about where a group of people is active at a current time; and

providing the detected regional information.

20. The method of claim 15, further comprising detecting a usage count of the user on the predicted route from the past location information of the user,

and providing the personalized information according to the detected usage count.

21. A computing device comprising:

a location tracker configured to track a location of the computing device;

a memory configured to store a location history of the computing device according to the tracked locations;

a controller configured to determine an initial route of the computing device by comparing a current location of the computing device to a previous location of the computing device, and determine a predicted route of the computing device based on the initial route and the location history of the computing device.

22. The computing device of claim 21, wherein the controller is further configured to detect information corresponding to a point of interest based on a point on the predicted route of the computing device,

and display the information corresponding to the point of interest on a display of the computing device.

23. The computing device of claim 21, wherein the location tracker comprises a sensor.

24. The computing device of claim 21, wherein the controller is further configured to control a display to provide a menu of theme items to a user, and

receive an input from the user for selecting a preferred theme item.

25. The computing device of claim 24, wherein the controller is further configured to determine a recommended theme item based on a point of interest near the predicted route of the computing device and the preferred theme of the user.