Sensor-based human activity recognition in a multi-user scenario

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5859 LNCS, Issue , 2009, Pages 78-87

  Wang, Liang ^a   Gu, Tao ^b   Tao, Xianping ^a   Lu, Jian ^a  

^a NANJING UNIVERSITY   (China)

^b UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

Author keywords

Multi user activity recognition; Probabilistic model

Indexed keywords

ACTIVITY RECOGNITION; COUPLED HIDDEN MARKOV MODELS; EXPERIMENTAL STUDIES; HUMAN ACTIVITY RECOGNITION; MULTI-USER; MULTI-USER SCENARIO; MULTIMODAL SENSING; MULTIPLE USER; PROBABILISTIC MODEL; SENSOR READINGS; SINGLE USERS; SMART HOMES; THEORETICAL FRAMEWORK; TRACE COLLECTION;

ARTIFICIAL INTELLIGENCE; SENSORS;

HIDDEN MARKOV MODELS;

EID: 78650620771     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-05408-2_10     Document Type: Conference Paper

References (19)

1. Brand, M.: Coupled hidden markov models for modeling interacting processes. Technical Report (November 1997).
2. Du, Y., Chen, F., Xu, W., Li, Y.: Recognizing interaction activities using dynamic bayesian network. In: Proc. of ICPR 2006, Hong Kong, China (August 2006).
3. Fayyad, U., Irani, K.: Multi-interval discretization of continuous-valued attributes for classification learning. In: Proc. Int'l. Joint Conf. on Artificial Intelligence, San Francisco (1993).
4. Gong, S., Xiang, T.: Recognition of group activities using dynamic probabilistic networks. In: Proc. of ICCV 2003, Nice, France, October 2003, pp. 742-749 (2003).
5. Gu, T., Wu, Z., Wang, L., Tao, X., Lu, J.: Mining Emerging Patterns for Recognizing Activities of Multiple Users in Pervasive Computing. In: Proc. of the 6th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2009), Toronto, Canada (July 2009).
6. Huynh, T., Blanke, U., Schiele, B.: Scalable recognition of daily activities from wearable sensors. In: Hightower, J., Schiele, B., Strang, T. (eds.) LoCA 2007. LNCS, vol. 4718, pp. 50-67. Springer, Heidelberg (2007).
7. Ivanov, Y.A., Bobick, A.F.: Recognition of visual activities and interactions by stochastic parsing. IEEE Trans. Pattern Recognition and Machine Intelligence 22(8), 852-872 (2000).
8. Katz, S., Ford, A.B., Moskowitz, R.W., Jackson, B.A., Jaffe, M.W.: Studies of illness in the aged. the index of adl: A standardized measure of biological and psychological function. Journal of the American Medical Association 185, 914-919 (1963).
9. Lester, J., Choudhury, T., Borriello, G.: A practical approach to recognizing physical activities. In: Fishkin, K.P., Schiele, B., Nixon, P., Quigley, A. (eds.) PERVASIVE 2006. LNCS, vol. 3968, pp. 1-16. Springer, Heidelberg (2006).
10. Logan, B., Healey, J., Philipose, M., Munguia-Tapia, E., Intille, S.: A long-term evaluation of sensing modalities for activity recognition. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds.) UbiComp 2007. LNCS, vol. 4717, pp. 483-500. Springer, Heidelberg (2007).
11. Oliver, N., Rosario, B., Pentland, A.: A Bayesian computer vision system for modeling human interactions. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8), 831-843 (2000).
12. Park, S., Trivedi, M.M.: Multi-person interaction and activity analysis: A synergistic trackand body- level analysis framework. Machine Vision and Applications: Special Issue on Novel Concepts and Challenges for the Generation of Video Surveillance Systems 18(3), 151-166 (2007).
13. Philipose, M., Fishkin, K.P., Perkowitz, M., Patterson, D.J., Fox, D., Kautz, H., Hähnel, D.: Inferring activities from interactions with objects. IEEE Pervasive Computing 3, 50-57 (2004).
14. Smith, E.R., Mackie, D.M.: Social Psychology. Routledge, London (1999).
15. van Kasteren, T.L.M., Noulas, A.K., Englebienne, G., Kröse, B.: Accurate activity recognition in a home setting. In: Proc. of International Conference on Ubiquitous Computing (Ubicomp 2008), Korea (September 2008).
16. Wang, S., Pentney, W., Popescu, A.M., Choudhury, T., Philipose, M.: Common sense based joint training of human activity recognizers. In: Proc. Int'l. Joint Conf. on Artificial Intelligence, Hyderabad (January 2007).
17. Wyatt, D., Choudhury, T., Bilmes, J., Kautz, H.: A privacy sensitive approach to modeling multi-person conversations. In: Proc. IJCAI, India (January 2007).
18. Yacoob, Y., Black, M.J.: Parameterized modeling and recognition of activities. In: Proc. of International Conference on Computer Vision, ICCV 1998 (1998).
19. Zhang, D., Gatica-Perez, D., Bengio, S., McCowan, I., Lathoud, G.: Modeling individual and group actions in meetings: A two-layer hmm framework. In: Proc. of CVPRW 2004, Washington, DC, USA (2004).