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Fuzzy logic based activity life cycle tracking and recognition

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Publication date2013
Host publicationInclusive Society: Health and Wellbeing in the Community, and Care at Home: 11th International Conference on Smart Homes and Health Telematics, ICOST 2013, Singapore, June 19-21, 2013, Proceedings
EditorsJit Biswas, Hisato Kobayashi
Place of PublicationBerlin
Number of pages7
ISBN (print)9783642394690
<mark>Original language</mark>English

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Human activity has a life cycle that could be tracked to provide crucial information that increases activity recognition performance. Life cycle tracking also enables powerful and more versatile programming models over the sentience of human activities. This paper introduces a new activity recognition approach that is based on fuzzy logic and activity life cycle tracking. We conduct preliminary performance validation and show how activity life cycle tracking offers higher accuracy when compared to the traditional approach of no-life cycle activity recognition. © 2013 Springer-Verlag Berlin Heidelberg.