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

    10 Citations (Scopus)
    LanguageEnglish
    Title of host publicationUnknown Host Publication
    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) https://doi.org/10.1109/BIBM.2014.6999238
    Weng, Shaolin ; Xiang, Luping ; Tang, Weiwei ; Yang, Hui ; Zheng, Lingxiang ; Lu, Hai ; Zheng, Huiru. / A low power and high accuracy MEMS sensor based activity recognition algorithm. Unknown Host Publication. 2014. pp. 33-38
    @inproceedings{1cd3dc3349144ac28d18f9af76df5a93,
    title = "A low power and high accuracy MEMS sensor based activity recognition algorithm",
    keywords = "H-SVM classifiers, activity recognition, low sampling rate, power consumption",
    author = "Shaolin Weng and Luping Xiang and Weiwei Tang and Hui Yang and Lingxiang Zheng and Hai Lu and Huiru Zheng",
    year = "2014",
    month = "11",
    doi = "10.1109/BIBM.2014.6999238",
    language = "English",
    pages = "33--38",
    booktitle = "Unknown Host Publication",

    }

    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, 2014 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2014, Belfast, United Kingdom, November 2-5, 2014, 1/11/14. https://doi.org/10.1109/BIBM.2014.6999238

    A low power and high accuracy MEMS sensor based activity recognition algorithm. / Weng, Shaolin; Xiang, Luping; Tang, Weiwei; Yang, Hui; Zheng, Lingxiang; Lu, Hai; Zheng, Huiru.

    Unknown Host Publication. 2014. p. 33-38.

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

    TY - GEN

    T1 - A low power and high accuracy MEMS sensor based activity recognition algorithm

    AU - Weng, Shaolin

    AU - Xiang, Luping

    AU - Tang, Weiwei

    AU - Yang, Hui

    AU - Zheng, Lingxiang

    AU - Lu, Hai

    AU - Zheng, Huiru

    PY - 2014/11

    Y1 - 2014/11

    KW - H-SVM classifiers

    KW - activity recognition

    KW - low sampling rate

    KW - power consumption

    U2 - 10.1109/BIBM.2014.6999238

    DO - 10.1109/BIBM.2014.6999238

    M3 - Conference contribution

    SP - 33

    EP - 38

    BT - Unknown Host Publication

    ER -

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