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January 1, 2010Journal of Ambient Intelligence and Smart EnvironmentsOpen Access

Activity recognition using semi-Markov models on real world smart home datasets

T.L.M. van Kasteren Gwenn Englebienne Ben Kröse

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Abstract

Accurately recognizing human activities from sensor data recorded in a smart home setting is a challenging task. Typically, probabilistic models such as the hidden Markov model (HMM) or conditional random fields (CRF) are used to map the observed sen

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Cite This Study

Kasteren et al. (2010) studied this question.

synapsesocial.com/papers/6a20b4ae515be2b4c6f9ec73 https://doi.org/10.3233/ais-2010-0070

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