Automatic Recognition of Object Use Based on Wireless Motion Sensors

S. Bosch, Raluca Marin Perianu, Paul J.M. Havinga, Mihai Marin Perianu, Arie Horst, Andrei Vasilescu

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

    4 Citations (Scopus)
    187 Downloads (Pure)


    In this paper, we present a method for automatic, online detection of a user’s interaction with objects. This represents an essential building block for improving the performance of distributed activity recognition systems. Our method is based on correlating features extracted from motion sensors worn by the user and attached to objects. We present a complete implementation of the idea, using miniaturized wireless sensor nodes equipped with motion sensors. We achieve a recognition accuracy of 97% for a target response time of 2 seconds. The implementation is lightweight, with low communication bandwidth and processing needs. We illustrate the potential of the concept by means of an interactive multi-user game.
    Original languageUndefined
    Title of host publicationInternational Symposium on Wearable Computers 2010
    Place of PublicationUSA
    Number of pages8
    ISBN (Print)978-1-4244-9044-8
    Publication statusPublished - 10 Oct 2010
    EventInternational Symposium on Wearable Computers 2010, Seoul, South Korea: International Symposium on Wearable Computers 2010 - USA
    Duration: 10 Oct 2010 → …

    Publication series

    PublisherIEEE Computer Society


    ConferenceInternational Symposium on Wearable Computers 2010, Seoul, South Korea
    Period10/10/10 → …


    • IR-73832
    • METIS-271060
    • Wireless Sensor Networks
    • Correlation
    • Inertial Sensors
    • EWI-18563
    • motion sensing
    • magnetic compass
    • user interaction
    • Smart Objects
    • Activity Recognition

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