Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-30779-9_23
Title: ACARP: Auto correct activity recognition rules using process analysis toolkit (PAT)
Authors: Lee, V.Y.
Liu, Y.
Zhang, X.
Phua, C.
Sim, K.
Zhu, J.
Biswas, J.
Dong, J.S. 
Mokhtari, M.
Keywords: Model Checking
Rules Auto-correction
Rules Verification
Issue Date: 2012
Source: Lee, V.Y.,Liu, Y.,Zhang, X.,Phua, C.,Sim, K.,Zhu, J.,Biswas, J.,Dong, J.S.,Mokhtari, M. (2012). ACARP: Auto correct activity recognition rules using process analysis toolkit (PAT). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7251 LNCS : 182-189. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-30779-9_23
Abstract: Activity recognition within ambient environments is a highly non-trivial process. Such procedures can be managed using rule based systems in monitoring human behavior. However, designing and verification of such systems is laborious and time-consuming. We present a rule verification system that uses model checking techniques to ensure rule validity. This system also performs correction of erroneous rules automatically, therefore reducing reliance on manual rule checking, verification and correction. © 2012 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/40067
ISBN: 9783642307782
ISSN: 03029743
DOI: 10.1007/978-3-642-30779-9_23
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