Fuzzy logic based activity life cycle tracking and recognition

Kim, E. and Helal, Sumi (2013) Fuzzy logic based activity life cycle tracking and recognition. In: Inclusive 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. Lecture Notes in Computer Science . Springer, Berlin, pp. 252-258. ISBN 9783642394690

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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.

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?? activity life cycleactivity recognitionfuzzy logichuman activitiesperformance validationprogramming modelstraditional approachesautomationfuzzy logichealthhome health careintelligent buildingspattern recognitionwireless telecommunication systemslife cycle ??
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31 Jan 2018 11:24
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16 Jul 2024 04:12