Passive Wireless Sensing for Unsupervised Human Activity Recognition in Healthcare

Wenda Li, Bo Tan, Yangdi Xu, Robert Piechocki

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

    17 Citations (Scopus)

    Abstract

    Physical activity classification is an important tool for various applications such as activity of daily living (ADL) recognition and fall detection. Additionally, the non-contact nature of radar systems provides minimally invasive sensing platform. Doppler-based radar has been used for activity classification in the past. However, most of these studies considered supervised classification which requires labeled training data sets. In this paper, we propose a novel procedure of using micro Doppler radar for unsupervised classification with Hidden Markov Models (HMM). A low-complexity time alignment method for capturing activity is developed and an Elbow test has been adopted for model selection. Test results confirm the efficacy of the selected feature set and the proposed methodology. The results prove the proposed system can deliver a very good performance in ADL recognition tasks.
    Original languageEnglish
    Title of host publication 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)
    PublisherIEEE
    Pages1528-1533
    ISBN (Electronic)978-1-5090-4372-9
    ISBN (Print)978-1-5090-4373-6
    Publication statusPublished - 20 Jul 2017
    EventInternational Wireless Communications and Mobile Computing Conference - Holiday Inn, Valencia, Spain
    Duration: 26 Jun 201730 Jun 2017
    Conference number: 13
    http://iwcmc.org/2017/ (Link to the conference website)

    Conference

    ConferenceInternational Wireless Communications and Mobile Computing Conference
    Abbreviated titleIWCMC2017
    Country/TerritorySpain
    CityValencia
    Period26/06/1730/06/17
    Internet address

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    • SPHERE: A sensor platform for healthcare in a residential environment

      Woznowski, P., Burrows, A., Diethe, T., Fafoutis, X., Hall, J., Hannuna, S., Camplani, M., Twomey, N., Kozlowski, M., Tan, B., Zhu, N., Elsts, A., Vafeas, A., Paiement, A., Tao, L., Mirmehdi, M., Burdhardt, T., Damen, D., Flach, P. & Piechocki, R. & 2 others, Craddock, I. & Oikonomou, G., 6 Dec 2016, Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT Solutions. Angelakis, V., Tragos, E., Pöhls, H. C., Kapovits, A. & Bassi, A. (eds.). Switzerland: Springer, p. 315-333 19 p.

      Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

      62 Citations (Scopus)

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