Activity Recognition Using Inertial Sensing for Healthcare, Wellbeing and Sports Applications: A Survey

A. Avci, S. Bosch, M. Marin-Perianu, R. Marin-Perianu, P. Havinga

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    283 Citations (Scopus)
    714 Downloads (Pure)

    Abstract

    This paper surveys the current research directions of activity recognition using inertial sensors, with potential application in healthcare, wellbeing and sports. The analysis of related work is organized according to the five main steps involved in the activity recognition process: preprocessing, segmentation, feature extraction, dimensionality reduction and classification. For each step, we present the main techniques utilized, their advantages and drawbacks, performance metrics and usage examples. We also discuss the research challenges, such as user behavior and technical limitations, as well as the remaining open research questions.
    Original languageEnglish
    Title of host publication23th International Conference on Architecture of Computing Systems, ARCS 2010
    Place of PublicationBerlin
    PublisherVDE Verlag
    Pages167-176
    Number of pages10
    ISBN (Print)978-3-8007-3222-7
    Publication statusPublished - Feb 2010
    Event23th International Conference on Architecture of Computing Systems, ARCS 2010 - Hannover, Germany
    Duration: 22 Feb 201025 Feb 2010
    Conference number: 23

    Conference

    Conference23th International Conference on Architecture of Computing Systems, ARCS 2010
    Abbreviated titleARCS 2010
    CountryGermany
    CityHannover
    Period22/02/1025/02/10

    Keywords

    • Inertial sensing
    • Body sensor networks
    • Activity recognition

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