Please use this identifier to cite or link to this item:
|Title:||ACARP: Auto correct activity recognition rules using process analysis toolkit (PAT)||Authors:||Lee, V.Y.
|Issue Date:||2012||Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.