Monitoring of human activities using a trainable system based on Hidden Markov modelling technology

R.G.V. Wassink, Christian T.M. Baten, Petrus H. Veltink, Raymond N.J. Veldhuis, Jan Hindrik Smeding

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    In order to facilitate proper interpretation of long measurements involving large data sets a novel data classifier was implemented and tested. The method is based on Hidden Markov modelling technique, the basic tool in speech recognition. Tests performed used motion data and yielded a activity recognition score of up to 95.5 ± 1.9% on a set of 8 different human activities.
    Original languageUndefined
    Pages (from-to)S109-S110
    Number of pages2
    JournalGait & posture
    Volume24
    Issue numberSuppl.
    DOIs
    Publication statusPublished - Dec 2006

    Keywords

    • EWI-19915
    • human activity monitoring
    • IR-61429
    • HMM
    • SCS-Safety

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