Design of activity recognition systems with wearable sensors

Igor Khokhlov, Leon Reznik, Justin Cappos, Rohit Bhaskar

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Wearable sensors are widely utilized in human activity monitoring and recognition systems. Not only do these sensors come in different form factors but the software that comes bundled with them also varies from device to device and is constantly evolving. Also, multiple types of sensors on these devices are used to recognize human activity. Owing to the flexible form factor, these devices can also be mounted on a plethora of different positions on the human body. With all the aforementioned variables, it becomes imperative that the quality of data provided by wearable sensors needs to be evaluated. This paper describes an empirical study resulting in evaluating the accuracy of human activity recognition by wearable sensors based on the type of sensor, the physical mounting position of the sensor on the human body, their type of activity being monitored and the type of device being used. The paper further delves into assessing the results of this study. It provides guidelines for designing better wearable sensor systems for human activity recognition.

    Original languageEnglish (US)
    Title of host publication2018 IEEE Sensors Applications Symposium, SAS 2018 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-6
    Number of pages6
    ISBN (Electronic)9781538620922
    DOIs
    StatePublished - Apr 11 2018
    Event2018 IEEE Sensors Applications Symposium, SAS 2018 - Seoul, Korea, Republic of
    Duration: Mar 12 2018Mar 14 2018

    Publication series

    Name2018 IEEE Sensors Applications Symposium, SAS 2018 - Proceedings
    Volume2018-January

    Other

    Other2018 IEEE Sensors Applications Symposium, SAS 2018
    CountryKorea, Republic of
    CitySeoul
    Period3/12/183/14/18

    Keywords

    • activity recognition
    • machine learning
    • wearable sensors

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Instrumentation

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  • Cite this

    Khokhlov, I., Reznik, L., Cappos, J., & Bhaskar, R. (2018). Design of activity recognition systems with wearable sensors. In 2018 IEEE Sensors Applications Symposium, SAS 2018 - Proceedings (pp. 1-6). (2018 IEEE Sensors Applications Symposium, SAS 2018 - Proceedings; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAS.2018.8336752