Please use this identifier to cite or link to this item: https://doi.org/10.1109/PERCOM.2009.4912776
Title: epSICAR: An emerging patterns based approach to sequential, interleaved and concurrent activity recognition
Authors: Gu, T.
Wu, Z.
Tao, X.
Pung, H.K. 
Lu, J.
Keywords: Activity recognition
Emerging patterns
Interleaved and concurrent activities
Sequential
Wireless sensor networks
Issue Date: 2009
Source: Gu, T.,Wu, Z.,Tao, X.,Pung, H.K.,Lu, J. (2009). epSICAR: An emerging patterns based approach to sequential, interleaved and concurrent activity recognition. 7th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2009. ScholarBank@NUS Repository. https://doi.org/10.1109/PERCOM.2009.4912776
Abstract: Recognizing human activities from sensor readings has recently attracted much research interest in pervasive computing. This task is particularly challenging because human activities are often performed in not only a simple (i.e., sequential), but also a complex (i.e., interleaved and concurrent) manner in real life. In this paper, we propose a novel Emerging Patterns based approach to Sequential, Interleaved and Concurrent Activity Recognition (epSICAR). We exploit Emerging Patterns as powerful discriminators to differentiate activities. Different from other learning-based models built upon the training dataset for complex activities, we build our activity models by mining a set of Emerging Patterns from the sequential activity trace only and apply these models in recognizing sequential, interleaved and concurrent activities. We conduct our empirical studies in a real smart home, and the evaluation results demonstrate that with a time slice of 15 seconds, we achieve an accuracy of 90.96% for sequential activity, 87.98% for interleaved activity and 78.58% for concurrent activity. © 2009 IEEE.
Source Title: 7th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/39991
ISBN: 9781424433049
DOI: 10.1109/PERCOM.2009.4912776
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