Complex Activity Recognition Using Context Driven Activity Theory in Home Environments
This paper proposes a context driven activity theory (CDAT) and reasoning approach for recognition of concurrent and interleaved complex activities of daily living (ADL) which involves no training and minimal annotation during the setup phase. We develop and validate our CDAT using the novel complex activity recognition algorithm on two users for three weeks. The algorithm accuracy reaches 88.5% for concurrent and interleaved activities. The inferencing of complex activities is performed online and mapped onto situations in near real-time mode. The developed systems performance is analyzed and its behavior evaluated.
KeywordsActivity recognition context-awareness situations
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- 2.Choudhury, T., Consolvo, S., Harrison, B., Hightower, J., LaMarca, A., LeGrand, L., Rahimi, A., Rea, A., Bordello, G., Hemingway, B., Klasnja, P., Koscher, K., Landay, J.A., Lester, J., Wyatt, D., Haehnel, D.: The Mobile Sensing Platform: An Embedded Activity Recognition System. IEEE Pervasive Computing 7, 32–41 (2008)CrossRefGoogle Scholar
- 6.Albinali, F., Davies, N., Friday, A.: Structural Learning of Activities from Sparse Datasets. In: Fifth Annual IEEE International Conference on Pervasive Computing and Communications, pp. 221–228 (2007)Google Scholar
- 8.Tao, G., Zhanqing, W., Xianping, T., Hung Keng, P., Jian, L.: epSICAR: An Emerging Patterns based approach to sequential, interleaved and Concurrent Activity Recognition. In: IEEE International Conference on Pervasive Computing and Communications, pp. 1–9 (2009)Google Scholar
- 10.Dey, A.K.: Providing architectural support for building context-aware applications, PhD Thesis, Georgia Institute of Technology, p. 240 (2000)Google Scholar
- 11.Padovitz, A., Loke, S.W., Zaslavsky, A.: Towards a Theory of Context Spaces. In: Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops (2004)Google Scholar
- 12.Bao, L., Intille, S.: Activity Recognition from User-Annotated Acceleration Data. In: Proc. Pervasive, Vienna, Austria, pp. 1–17 (2004)Google Scholar