IDENTIFY POINTS OF INTEREST USING WIRELESS ACCESS POINTS

• US 20130267255A1
• Filed: 06/01/2013
• Published: 10/10/2013
• Est. Priority Date: 10/21/2011
• Status: Abandoned Application

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Alohar Mobile Inc. (Alibaba Group Holding Ltd.)
• Inventors: Liu, Zhigang, Fu, Yun, Wang, Chenyu, Liang, Sam Song
• Application Number:
  US13/907,861
• Publication Number:
  US 20130267255A1
• Time in Patent Office: Days
• US Class Current: 455/456.3
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/21 for social networking applications
• CPC Class Codes: H04W 64/00 Locating users or terminals or network equipment for network management purposes, e.g. mobility management
• CPC Class Codes: H04W 84/12 WLAN [Wireless Local Area Networks]

Abstract

Methods, systems and apparatuses for using wireless access points to identify points of interest (POIs), are disclosed. One embodiment includes a method of using wireless access points to identify points of interest (POIs). The method includes collecting wireless access data points, wherein the wireless access data points comprise at least one wireless access point signature of at least one wireless access element of the wireless access points, analyzing the wireless access data points over a time window, comprising identifying segments within the time window, and matching a point of interest (POI) with each identified segment.

Claims

1. An upstream server operative to:

establish a network connection with a mobile device, and receive wireless access data points that were collected by the mobile device from wireless access points, wherein the wireless access data points comprise at least one wireless access point signature of at least one wireless access element of the wireless access points;

analyze the wireless access data points over a time window, comprising identifying segments within the time window; and

match a point of interest (POI) with each identified segment.

2. The server of claim 1, wherein each segment corresponds with a user stay.

3. The server of claim 1, wherein each wireless access element comprises a media access control (MAC) address and a service set identification (SSID) field.

4. The server of claim 1, wherein each wireless access element comprises a media access control (MAC) address and a service set identification (SSID) field, and a receive signal strength indicator (RSSI).

5. The server of claim 1, wherein each segment comprises at least a portion of the wireless access point data points of the time window.

6. The server of claim 1, wherein analyzing the wireless access data points over a time window and identifying segments within the time window, comprises matching wireless access point signatures to each identified segment.

7. The server of claim 6, wherein matching wireless access point signatures comprises matching MAC addresses of the wireless access point signatures.

8. The server of claim 6, wherein matching wireless access point signatures comprises matching MAC addresses and RSSI fields of the wireless access point signatures.

9. The server of claim 8, wherein matching the MAC addresses and the RSSI fields of the wireless access point signatures comprises representing each wireless access point signature with a multi-dimensional vector, wherein each axis of the multi-dimensional vector is represented by a vector MAC address, and a magnitude of the vector along each axis is represented by an associated RSSI field.

10. The server of claim 9, wherein the RSSI field is converted to power.

11. The server of claim 9, wherein matching access point signatures comprises computing a cosine similarity between multi-dimensional vectors corresponding with the access point signatures.

12. The server of claim 1, wherein matching a point of interest (POI) with each identified segment further comprises matching SSID fields of the wireless access point signatures with the name of candidate POIs.

13. The server of claim 12, wherein matching SSID fields of the wireless access point signatures comprises fuzzy matching of the SSID fields with the name of candidate POIs.

14. The server of claim 12, further comprising assigning a score to each POI based on the matching of the SSID fields of the wireless access point signatures with the names of candidate POIs.

15. The server of claim 1, wherein wireless access point signatures are averaged over time.

16. The server of claim 1, wherein matching a point of interest (POI) with each identified segment comprises analyzing a physical distance between a centroid of the user stay and the POI, time heuristics of the POI, and popularity of the POI.

17. The server of claim 1, further comprising using GPS and/or mobile device sensor to match the POI with each identified segment.

18. The server of claim 1, wherein the wireless access points comprise WiFi access points.

19. The server of claim 1, wherein identifying segments within the time window comprises identifying segments where a motion state of the mobile device is stationary.

20. The server of claim 1, wherein identifying segments within the time window comprises identifying segments where a speed of the mobile device is lower than a driving state of motion.

21. The server of claim 1, wherein identifying segments within the time window comprises identifying segments where the wireless access data points are within a predetermined distance of personal places a user of the mobile device, that the user has been previously visited.

22. The server of claim 1, wherein identifying segments within the time window comprises identifying segments where the wireless access data points are within a threshold distance one of a white list of POIs.

23. The server of claim 1, wherein identifying segments within the time window comprises identifying segments where the mobile device is in a sleep state.

24. The server of claim 1, wherein identifying segments within the time window comprises identifying segments using a combination of a wireless access point signature, a motion state, a speed, a sleep state, personal places, and a white list of POIs.

25. A system for using wireless access points to identify points of interest (POIs), comprising:

a mobile device operative to collect wireless access data points, wherein the wireless access data points comprise at least one wireless access point signature of at least one wireless access element of the wireless access points;

at least one of a controller of the mobile device or a controller of an upstream server operative to;

analyze the wireless access data points over a time window, comprising identifying segments within the time window; and

match a point of interest (POI) with each identified segment.

26. A method of using wireless access points to identify points of interest (POIs), comprising:

collecting wireless access data points, wherein the wireless access data points comprise at least one wireless access point signature of at least one wireless access element of the wireless access points;

analyzing the wireless access data points over a time window, comprising identifying segments within the time window; and

matching a point of interest (POI) with each identified segment.