Place learning via direct WiFi fingerprint clustering

Proceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012

Volumn , Issue , 2012, Pages 282-287

  Dousse, Olivier ^a   Eberle, Julien ^a   Mertens, Matthias ^a  

^a NOKIA RESEARCH CENTER   (United States)

Author keywords

density based clustering; place learning; WiFi fingerprints

Indexed keywords

ACCESS POINTS; CONTEXTUAL INFORMATION; DENSITY-BASED CLUSTERING; DISCRETE LOCATION; FINGERPRINT CLUSTERING; GEOGRAPHICAL COORDINATES; PLACE-LEARNING;

INFORMATION MANAGEMENT; MOBILE DEVICES;

WI-FI;

EID: 84870746945     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MDM.2012.46     Document Type: Conference Paper

References (18)

1. A. LaMarca, Y. Chawathe, S. Consolvo, J. Hightower, I. Smith, J. Scott, T. Sohn, J. Howard, J. Hughes, F. Potter et al., "Place lab: Device positioning using radio beacons in the wild," Pervasive Computing, pp. 301-306, 2005.
2. J. Krumm and E. Horvitz, "Locadio: Inferring motion and location from wi-fi signal strengths," in Proceedings of the first Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (Mobiquitous 2004), 2004, pp. 4-13.
3. J. Hightower, S. Consolvo, A. LaMarca, I. Smith, and J. Hughes, "Learning and recognizing the places we go," in Proceedings of the 7th international conference on Ubiquitous computing, 2005, pp. 159-176.
4. D. Kim, J. Hightower, R. Govindan, and D. Estrin, "Discovering semantically meaningful places from pervasive rf-beacons," in Proceedings of the 11th international conference on Ubiquitous computing, 2009, pp. 21-30.
5. D. Ashbrook and T. Starner, "Learning significant locations and predicting user movement with gps," in Proceedings of the 6th International Symposium on Wearable Computers (ISWC), 2002, pp. 101-108.
6. -, "Using gps to learn significant locations and predict movement across multiple users," Personal and Ubiquitous Computing, vol. 7, no. 5, pp. 275-286, 2003.
7. J. Kang, W. Welbourne, B. Stewart, and G. Borriello, "Extracting places from traces of locations," in Proceedings of the 2nd ACM international workshop on Wireless mobile applications and services on WLAN hotspots. ACM, 2004, pp. 110-118.
8. R. Montoliu and D. Gatica-Perez, "Discovering human places of interest from multimodal mobile phone data," in Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia, 2010, p. 12.
9. M. Ester, H. Kriegel, J. Sander, and X. Xu, "A density-based algorithm for discovering clusters in large spatial databases with noise," in Proceedings of the 2nd International Conference on Knowledge Discovery and Data mining, vol. 1996, 1996, pp. 226-231.
10. C. Zhou, D. Frankowski, P. Ludford, S. Shekhar, and L. Terveen, "Discovering personally meaningful places: An interactive clustering approach," ACM Transactions on Information Systems (TOIS), vol. 25, no. 3, pp. 12-es, 2007.
11. -, "Discovering personal gazetteers: an interactive clustering approach," in Proceedings of the 12th annual ACM international workshop on Geographic information systems, 2004, pp. 266-273.
12. P. Nurmi and S. Bhattacharya, "Identifying meaningful places: the non-parametric way," Pervasive Computing, pp. 111-127, 2008.
13. C. Lee, M. Lee, and D. Han, "Energy-efficient location logging for mobile device," in Proceedings of the 10th Annual International Symposium on Applications and the Internet, 2010, pp. 84-90.
14. D. Kim, Y. Kim, D. Estrin, and M. Srivastava, "Sensloc: sensing everyday places and paths using less energy," in Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems. ACM, 2010, pp. 43-56.
15. M. Ankerst, M. Breunig, H. Kriegel, and J. Sander, "Optics: ordering points to identify the clustering structure," in Proceedings of the ACM SIGMOD international conference on Management of data, vol. 28, no. 2, 1999, pp. 49-60.
16. P. Bahl and V. Padmanabhan, "Radar: An in-building rf-based user location and tracking system," in Proc. IEEE Infocom, vol. 2. Ieee, 2000, pp. 775-784.
17. J. Krumm and K. Hinckley, "The nearme wireless proximity server," in Proceedings of the 6th international conference on Ubiquitous computing, 2004, pp. 283-300.
18. Y. Ye, Y. Zheng, Y. Chen, J. Feng, and X. Xie, "Mining individual life pattern based on location history," in Proceedings of the 10th International Conference on Mobile Data Management (MDM), 2009.