Discovering routines from large-scale human locations using probabilistic topic models

ACM Transactions on Intelligent Systems and Technology

Volumn 2, Issue 1, 2011, Pages

  Farrahi, Katayoun ^a   Gatica Perez, Daniel ^b  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

^b EPFL   (Switzerland)

Author keywords

Human activity modeling; Reality mining; Topic models

Indexed keywords

BEHAVIORAL PATTERNS; DAILY LIVES; GENERATIVE MODEL; GROUP BEHAVIOR; HUMAN ACTIVITIES; HUMAN DATASET; K-MEANS; LATENT DIRICHLET ALLOCATION; LATENT STRUCTURES; MOBILE-PHONE USERS; PROBABILISTIC TOPIC MODELS; REALITY MININGS; TOPIC MODEL; TOPIC STRUCTURES;

MOBILE PHONES; TELECOMMUNICATION EQUIPMENT; TELEPHONE; TELEPHONE SETS;

MODELS;

EID: 79955141605     PISSN: 21576904     EISSN: 21576912     Source Type: Journal    
DOI: 10.1145/1889681.1889684     Document Type: Article

References (37)

1. Akoush, S. and Sameh, A. 2007. Mobile user movement prediction using bayesian learning for neural networks. In Proceedings of the ACM International Wireless Communications and Mobile Computing Conference (IWCMC). 191-196. (Pubitemid 350229512)
2. Blei, D.M., Griffiths, T.L., Jordan, M.I., and Tenenbaum, J. B. 2004. Hierarchical topic models and the nested Chinese restaurant process. In Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS).
3. Blei, D.M., Ng, A.Y., and Jordan, M. I. 2003. Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993-1022.
4. Choudhury, T. and Pentland, A. 2003. Sensing and modeling human networks using the sociometer. In Proceedings of the IEEE International Symposium on Wearable Computers (ISWC). 216.
5. Choudhury, T., Philipose, M., Wyatt, D., and Lester, J. 2006. Towards activity databases: Using sensors and statistical models to summarize people's lives. IEEE Data Engin. Bull. 49-58.
6. Duda, R., Hart, P., and Stork, D. 2000. Pattern Classification 2nd Ed. Wiley-Interscience.
7. Eagle, N. and Pentland, A. 2009. Eigenbehaviors: Identifying structure in routine. Behav. Ecol. Sociobiol. 63, 7, 1057-1066.
8. Eagle, N., Pentland, A., and Lazer, D. 2009. Inferring social network structure using mobile phone data. Proc. Nat. Acad. Sci. 106, 36, 15274-15278.
9. Farrahi, K. and Gatica-Perez, D. 2008a. Discovering human routines from cell phone data with topic models. In Proceedings of the IEEE International Symposium on Wearable Computers (ISWC).
10. Farrahi, K., and Gatica-Perez, D. 2008b. What did you do today? Discovering daily routines from large-scale mobile data. In Proceedings of the ACM International Conference onMultimedia (ACM MM).
11. Gonzalez, M.C., Hidalgo, C.A., and Barabasi, A.-L. 2008. Understanding individual human mobility patterns. Nature 453, 7196, 779-782. (Pubitemid 351793783)
12. Griffiths, T.L. and Steyvers, M. 2004. Finding scientific topics. Proc. Nat. Acad. Sci. USA 101 Suppl 1, 5228-5235. (Pubitemid 38469131)
13. Heinrich, G. 2008. Parameter estimation for text analysis, . Tech. rep., University of Leipzig.
14. Hightower, J., Consolvo, S., Lamarca, A., Smith, I., and Hughes, J. 2005. Learning and recognizing the places we go. In Proceedings of the Workshop on Ubiquitous Computing (UbiComp). 159-176.
15. Huynh, T., Fritz, M., and Schiele, B. 2008. Discovery of activity patterns using topic models. In Proceedings of the Workshop on Ubiquitous Computing (UbiComp). 10-19.
16. Intille, S. S., Larson, K., Tapia, E. M., Beaudin, J. S., Kaushik, P., Nawyn, J., andRockinson, R. 2006. Using a live-in laboratory for ubiquitous computing research. In Proceedings of the Workshop on Pervasive Computing. 349-365. (Pubitemid 44044768)
17. Kiukkonen, N., Blom, J., Dousse, O., Gatica-Perez, D., and Laurila, J. 2010. Towards rich mobile phone datasets: Lausanne data collection campaign. In Proceedings of the ACM International Conference on Pervasive Services (ICPS).
18. Krumm, J. and Horvitz, E. 2006. Predestination: Inferring destinations from partial trajectories. In Proceedings of the Workshop on Ubiquitous Computing (UbiComp).
19. Larson, K. and Intille, S. Placelab website. http://architecture.rnit. edu/house-n/data/placelab/placelab.htm.
20. Letchner, J., Fox, D., and LaMarca, A. 2005. Large-scale localization from wireless signal strength. In Proceedings of the Natural Conference on Artificial Intelligence (AAAI). 15-20. (Pubitemid 43006748)
21. Liao, L., Fox, D., and Kautz, H. 2006. Location-based activity recognition. In Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS). 787-794.
22. Ling, R. and Donner, J. 2009. Mobile Communication: Digital Media and Society Series. Polity Press.
23. Logan, B., Healey, J., Philipose, M., Tapia, E.M., and Intille, S. S. 2007. A long-term evaluation of sensing modalities for activity recognition. In Proceedings of the Workshop on Ubiquitous Computing (UbiComp). Lecture Notes in Computer Science, vol. 4717, Springer, 483-500.
24. MIT Technology Review. 10 emerging technologies 2008. http://www.technologyreview.com/specialreports/specialreport.aspx?id=25.
25. Monay, F. and Gatica-Perez, D. 2007. Modeling semantic aspects for cross-media image retrieval. IEEE Trans. Patt. Anal. Mach. Intell.
26. Niebles, J., Wang, H., and Fei-Fei, L. 2006. Unsupervised learning of human action categories using spatial-temporal words. Int. J. Comput. Vision.
27. Otsason, V., Varshavsky, A., Lamarca, A., and de Lara, E. 2005. Accurate gsm indoor localization. In Proceedings of the Workshop on Ubiquitous Computing (UbiComp). Springer, Berlin, 141-158.
28. Patterson, D., Liao, L., Fox, D., and Kautz, H. 2003. Inferring high-level behavior from low-level sensors. In Proceedings of the Workshop on Ubiquitous Computing (UbiComp). 73-89.
29. Pritchard, J., Stephens, M., and Donnelly, P. 2000. Inference of population structure using multilocus genotype data. Genetics. 155, 945-959. (Pubitemid 30397141)
30. Quelhas, P., Monay, F., Odobez, J.-M., Gatica-Perez, D., and Tuytelaars, T. 2007. A thousand words in a scene. IEEE Trans. Patt. Anal. Mach. Intell., 1575-89. (Pubitemid 47299912)
31. Reddy, S., Burke, J., Estrin, D., Hansen, M., and Strivastava, M. 2008. Using mobile phones to determine transportation mode. In Proceedings of the International Symposium on Wearable Computers (ISWC).
32. Rosen-Zvi, M., Griffiths, T., Steyvers, M., and Smyth, P. 2004. The author-topic model for authors and documents. In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI). 487-494.
33. Sohn, T., Varshavsky, A., Lamarca, A., Chen, M., Choudhury, T., Smith, I., Consolvo, S., Hightower, J., Griswold, W., and de Lara, E. 2006. Mobility detection using everyday gsm traces. In Proceedings of the Workshop on Ubiquitous Computing (UbiComp). 212-224. (Pubitemid 44618974)
34. Tapia, E., Intille, S., Haskell, W., Larson, K., Wright, J., King, A., and Friedman, R. 2007. Realtime recognition of physical activities and their intensities using wireless accelerometers and a heart rate monitor. In Proceedings of the International Symposium on Wearable Computers (ISWC). 37-40. (Pubitemid 351424263)
35. Tapia, E.M., Intille, S.S., and Larson, K. 2004. Activity recognition in the home setting using simple and ubiquitous sensors. In Proceedings of PERVASIVE. 158-175.
36. Wang, Y., Bai, H., Stanton, M., Chen, W.-Y., and Chang, E. Y. 2009. PLDA: Parallel latent dirichlet allocation for large-scale applications. In Proceedings of AAIM. 301-314.
37. Wren, C., Ivanov, Y., Kaur, I., Leigh, D., Westhues, J., Wren, C.R., Ivanov, Y.A., Kaur, I., Leigh, D., and Westhues, J. 2007. Socialmotion: Measuring the hidden social life of a building. In Proceedings of the International Symposium on Location-and Context-Awareness (LoCA'07). 85-102.