Feature Engineering for Activity Recognition from Wrist-Worn Motion Sensors

Sumeyye Konak, Fulya Turan, M. Shoaib, O. Durmaz

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    5 Citations (Scopus)
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    Abstract

    With their integrated sensors, wrist-worn devices, such as smart watches, provide an ideal platform for human activity recognition. Particularly, the inertial sensors, such as accelerometer and gyroscope can efficiently capture the wrist and arm movements of the users. In this paper, we investigate the use of accelerometer sensor for recognizing thirteen different activities. Particularly, we analyse how different sets of features extracted from acceleration readings perform in activity recognition. We categorize the set of features into three classes: motion related features, orientation-related features and rotation-related features and we analyse the recognition performance using motion, orientation and rotation information both alone and in combination. We utilize a dataset collected from 10 participants and use different classification algorithms in the analysis. The results show that using orientation features achieve the highest accuracies when used alone and in combination wit h other sensors. Moreover, using only raw acceleration performs slightly better than using linear acceleration and similar compared with gyroscope
    Original languageUndefined
    Title of host publicationProceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems, PECCS 2016
    Place of PublicationPortugal
    PublisherSCITEPRESS – Science and Technology Publications
    Pages76-84
    Number of pages9
    ISBN (Print)978-989-758-195-3
    DOIs
    Publication statusPublished - Jul 2016
    Event6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems 2016 - Lisbon, Portugal
    Duration: 25 Jul 201627 Jul 2016
    Conference number: 6
    http://www.peccs.org/?y=2016

    Publication series

    Name
    PublisherSCITEPRESS – Science and Technology Publications

    Conference

    Conference6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems 2016
    Abbreviated titlePECCS 2016
    CountryPortugal
    CityLisbon
    Period25/07/1627/07/16
    OtherPECCS 2016 will be held in conjunction with ICETE 2016 and PhyCS 2016
    Internet address

    Keywords

    • EWI-27123
    • IR-101362
    • METIS-318485

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