A low power and high accuracy MEMS sensor based activity recognition algorithm

Shaolin Weng, Luping Xiang, Weiwei Tang, Hui Yang, Lingxiang Zheng, Hai Lu, Huiru Zheng

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

    12 Citations (Scopus)
    Original languageEnglish
    Title of host publicationUnknown Host Publication
    PublisherIEEE
    Pages33-38
    Number of pages6
    DOIs
    Publication statusPublished - Nov 2014
    Event2014 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2014, Belfast, United Kingdom, November 2-5, 2014 -
    Duration: 1 Nov 2014 → …

    Conference

    Conference2014 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2014, Belfast, United Kingdom, November 2-5, 2014
    Period1/11/14 → …

    Keywords

    • H-SVM classifiers
    • activity recognition
    • low sampling rate
    • power consumption

    Cite this

    Weng, S., Xiang, L., Tang, W., Yang, H., Zheng, L., Lu, H., & Zheng, H. (2014). A low power and high accuracy MEMS sensor based activity recognition algorithm. In Unknown Host Publication (pp. 33-38). IEEE. https://doi.org/10.1109/BIBM.2014.6999238