M. Bicego, M. Cristani, and V. Murino, Unsupervised scene analysis: A hidden Markov model approach, Computer Vision and Image Understanding, vol.102, issue.1, pp.22-41, 2006.
DOI : 10.1016/j.cviu.2005.09.001

D. J. Cook, Prediction Algorithms for Smart Environments, Smart Environments: Technologies, Protocols, and Applications . Wiley Series on Parallel and Distributed Computing, 2005.
DOI : 10.1002/047168659X.ch8

N. Eagle and A. Pentland, Eigenbehaviors: Identifying structure in routine, Proc. of Ubicomp'06, 2006.

J. L. Elman, Finding Structure in Time, Cognitive Science, vol.49, issue.2, pp.179-211, 1990.
DOI : 10.1207/s15516709cog1402_1

M. S. Magnusson, Discovering hidden time patterns in behavior: T-patterns and their detection, Behavior Research Methods, Instruments, & Computers, vol.20, issue.1, pp.93-110, 2000.
DOI : 10.3758/BF03200792

L. Rabiner, A tutorial on hidden markov models and selected applications in speech recognition, Proceedings of IEEE, pp.257-285, 1989.

S. P. Rao and D. J. Cook, PREDICTING INHABITANT ACTION USING ACTION AND TASK MODELS WITH APPLICATION TO SMART HOMES, International Journal on Artificial Intelligence Tools, vol.13, issue.01, pp.81-99, 2004.
DOI : 10.1142/S0218213004001533

C. R. Wren, D. C. Minnen, and S. G. Rao, Similarity-based analysis for large networks of ultra-low resolution sensors, Pattern Recognition, vol.39, issue.10, pp.1918-1931, 2006.
DOI : 10.1016/j.patcog.2006.04.009