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From activity recognition to situation recognition

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Published
Publication date2013
Host publicationInternational Conference on Smart Homes and Health Telematics: ICOST 2013: Inclusive Society: Health and Wellbeing in the Community, and Care at Home
EditorsJit Biswas, H. Kobayashi, L. Wong, Bessam Abdulrazak, Mounir Mokhtari
Place of PublicationBerlin
PublisherSpringer
Pages245-251
Number of pages7
ISBN (print)9783642394690
<mark>Original language</mark>English

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume7910
ISSN (Print)0302-9743

Abstract

Activity recognition is important to many critical human-centric applications. Despite success in activity recognition research, there seems to be a quest for a richer sentience that is more expressive than human activity. In particular, situation has received intense attention lately with a multitude of overlapping definitions motivated by a variety of different goals. With the goal of assessing user behavior response (compliance) in persuasive systems, we propose a specific definition of situation along with a framework for designing situation recognition algorithms. © 2013 Springer-Verlag Berlin Heidelberg.