Dwelling in the canyons: Dwelling detection in urban environments using GPS, Wi-Fi, and geolocation

Pervasive and Mobile Computing

Volumn 9, Issue 5, 2013, Pages 665-680

  Brouwers, Niels ^a   Woehrle, Matthias ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Dwelling; Mobile phones; Urban environment

Indexed keywords

CELLULAR TELEPHONES; MOBILE DEVICES; MOBILE PHONES; TELEPHONE SETS; URBAN PLANNING; WIRELESS LOCAL AREA NETWORKS (WLAN);

CONFINED AREAS; DWELLING; EUROPEAN COUNTRIES; GEOLOCATIONS; HUMAN MOBILITY; URBAN ENVIRONMENTS;

HOUSING;

EID: 84883455056     PISSN: 15741192     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pmcj.2012.07.001     Document Type: Article

References (29)

1. M.C. Gonzalez, C.A. Hidalgo, and A.-L. Barabasi Understanding individual human mobility patterns Nature 453 7196 2008 779 782
2. C. Song, Z. Qu, N. Blumm, and A.-L. Barabási Limits of predictability in human mobility Science 327 5968 2010 1018 1021
3. S. Reddy, M. Mun, J. Burke, D. Estrin, M. Hansen, and M. Srivastava Using mobile phones to determine transportation modes ACM Transactions on Sensor Networks 6 2010 13:1 13:27
4. T. Sohn, A. Varshavsky, A. LaMarca, M. Chen, T. Choudhury, I. Smith, S. Consolvo, J. Hightower, W. Griswold, and E. de Lara Mobility detection using everyday GSM traces UbiComp 2006: Ubiquitous Computing LNCS vol. 4206 2006 212 224
5. C. Randell, H. Muller, Context awareness by analyzing accelerometer data, in: 4th IEEE Int'l Symposium on Wearable Computers, 2000, pp. 175-176.
6. K. Muthukrishnan, B.J. van der Zwaag, P. Havinga, Inferring motion and location using WLAN RSSI, in: Proc. 2nd Int'l Conf. on Mobile Entity Localization and Tracking in GPS-Less Environments, 2009, pp. 163-182.
7. M. Mun, D. Estrin, D. Burke, M. Hansen, Parsimonious mobility classification using GSM and WiFi traces, in: Proc. 5th Workshop on Embedded Networked Sensors, 2008.
8. I. Constandache, R.R. Choudhury, I. Rhee, Towards mobile phone localization without war-driving, in: Proc. 29th Conf. on Information Communications, INFOCOM'10, 2010, pp. 2321-2329.
9. L. Liao, D. Fox, and H. Kautz Extracting places and activities from GPS traces using hierarchical conditional random fields Int'l Journal of Robotics Research 26 2007
10. D. Ashbrook, and T. Starner Using GPS to learn significant locations and predict movement across multiple users Personal and Ubiquitous Computing 7 5 2003 275 286
11. R. Hariharan, and K. Toyama Project Lachesis: parsing and modeling location histories Geographic Information Science LNCS vol. 3234 2004 106 124 (Chapter 8)
12. J.H. Kang, W. Welbourne, B. Stewart, G. Borriello, Extracting places from traces of locations, in: Proc. 2nd ACM Int'l Workshop on Wireless Mobile Applications and Services on WLAN Hotspots, 2004, pp. 110-118.
13. J. Sander, M. Ester, H.-P. Kriegel, and X. Xu Density-based clustering in spatial databases: the algorithm GDBSCAN and its applications Data Mining and Knowledge Discovery 2 1998 169 194
14. C. Zhou, D. Frankowski, P. Ludford, S. Shekhar, L. Terveen, Discovering personal gazetteers: an interactive clustering approach, in: Proc. 12th ACM Int'l Workshop on Geographic Information Systems, GIS'04, 2004, pp. 266-273.
15. D. Comaniciu, and P. Meer Mean shift: a robust approach toward feature space analysis IEEE Transactions on Pattern Analysis and Machine Intelligence 24 5 2002 603 619
16. P. Nurmi, S. Bhattacharya, Identifying meaningful places: the non-parametric way, in: Proc. 6th Int'l Conf. on Pervasive Computing, 2008, pp. 111-127.
17. A. Thiagarajan, L. Ravindranath, H. Balakrishnan, S. Madden, L. Girod, Accurate, low-energy trajectory mapping for mobile devices, in: Proc. 8th USENIX Conf. on Networked Systems Design and Implementation, NSDI'11, 2011, pp. 267-280.
18. D.H. Kim, Y. Kim, D. Estrin, M.B. Srivastava, SensLoc: sensing everyday places and paths using less energy, in: Proc. 8th ACM Conf. on Embedded Networked Sensor Systems, 2010, pp. 43-56.
19. D.J. Rogers, and T.T. Tanimoto A computer program for classifying plants Science 132 1960 1115 1118
20. Y.-C. Cheng, Y. Chawathe, A. LaMarca, J. Krumm, Accuracy characterization for metropolitan-scale Wi-Fi localization, in: Proc. 3rd Int'l Conf. on Mobile Systems, Applications, and Services, MobiSys'05, 2005, pp. 233-245.
21. K. Muthukrishnan, M. Lijding, N. Meratnia, and P. Havinga Sensing motion using spectral and spatial analysis of WLAN RSSI Proceedings of the 2nd European Conference on Smart Sensing and Context EuroSSC'07 2007 Springer-Verlag Berlin, Heidelberg 3-540-75695-7 62 76 978-3-540-75695-8
22. P. Jaccard The distribution of the flora of the alpine zone New Phytologist 11 1912 37 50
23. Google, Google geolocation API, 2011. http://code.google.com/apis/gears/ api-geolocation.html.
24. Skyhook, Skyhook wireless, 2011. http://www.skyhookwireless.com/.
25. Google, Google maps, 2011. http://maps.google.com.
26. J.R. Quinlan C4.5: Programs for Machine Learning 1993 Morgan Kaufmann Publishers Inc.
27. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I.H. Witten The WEKA data mining software: an update SIGKDD Explorations Newsletter 11 2009 10 18
28. A. Schliep, B. Georgi, W. Rungsarityotin, I.G. Costa, A. Schönhuth, The general Hidden Markov model library: analyzing systems with unobservable states, in: Proc. Heinz-Billing-Price, 2004, pp. 121-136.
29. N. Brouwers, M. Woehrle, Detecting Dwelling in urban environments using GPS, WiFi, and geolocation measurements, in: Proc. 2nd Int'l Workshop on Sensing Applications on Mobile Phones, PhoneSense 2011, 2011, pp. 1-5.