Towards detection of bad habits by fusing smartphone and smartwatch sensors

M. Shoaib, S. Bosch, Johan Scholten, Paul J.M. Havinga, O. Durmaz

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

    59 Citations (Scopus)
    394 Downloads (Pure)

    Abstract

    Recently, there has been a growing interest in the research community about using wrist-worn devices, such as smartwatches for human activity recognition, since these devices are equipped with various sensors such as an accelerometer and a gyroscope. Similarly, smartphones are already being used for activity recognition. In this paper, we study the fusion of a wrist-worn device (smartwatch) and a smartphone for human activity recognition. We evaluate these two devices for their strengths and weaknesses in recognizing various daily physical activities. We use three classifiers to recognize 13 different activities, such as smoking, eating, typing, writing, drinking coffee, giving a talk, walking, jogging, biking, walking upstairs, walking downstairs, sitting, and standing. Some complex activities, such as smoking, eating, drinking coffee, giving a talk, writing, and typing cannot be recognized with a smartphone in the pocket position alone. We show that the combination of a smartwatch and a smartphone recognizes such activities with a reasonable accuracy. The recognition of such complex activities can enable well-being applications for detecting bad habits, such as smoking, missing a meal, and drinking too much coffee. We also show how to fuse information from these devices in an energy-efficient way by using low sampling rates. We make our dataset publicly available in order to make our work reproducible.
    Original languageUndefined
    Title of host publicationProceedings of the IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Pages591 -596
    Number of pages6
    ISBN (Print)978-1-4799-8425-1
    DOIs
    Publication statusPublished - 23 Mar 2015
    EventIEEE International Conference on Pervasive Computing and Communications, PerCom 2015 - St. Louis, United States
    Duration: 23 Mar 201527 Mar 2015
    http://www.percom.org/Previous/ST2015/

    Publication series

    Name
    PublisherIEEE Computer Society

    Workshop

    WorkshopIEEE International Conference on Pervasive Computing and Communications, PerCom 2015
    Abbreviated titlePerCom
    CountryUnited States
    CitySt. Louis
    Period23/03/1527/03/15
    Internet address

    Keywords

    • EWI-26482
    • METIS-315041
    • IR-98394

    Cite this

    Shoaib, M., Bosch, S., Scholten, J., Havinga, P. J. M., & Durmaz, O. (2015). Towards detection of bad habits by fusing smartphone and smartwatch sensors. In Proceedings of the IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015 (pp. 591 -596). USA: IEEE Computer Society. https://doi.org/10.1109/PERCOMW.2015.7134104