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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/118869

    Title: Activity Recognition Approach based on Spatial-Temporal constraints for Aged-care in Smart Home
    Authors: Chen, Haibao;Chang, Chih-Yung;Shang, Cuijuan;Chen, Guilin;Zhao, Shenghui
    Date: 2020-04-06
    Issue Date: 2020-07-07 12:10:21 (UTC+8)
    Abstract: Activity recognition plays an important role in smart homes for aged-care. In this
    paper, we formulate the problem of activity recognition and propose a new method based on
    spatial-temporal constraints to carry out activity recognition, which consists of five phases:
    initialisation, segmentation, sensor data representation, activity exploration as well as activity
    identification. Besides, we analyse the time complexity and space complexity of our approach in
    theory. To evaluate our approach, we carried out experiments on real dataset from Wireless and
    Mobile Network Laboratory, Tamkang University. The experimental results demonstrate an
    improvement of 5.6% in the accuracy on average of recognised activities in comparison to the
    method of support vector machine (SVM).
    Relation: International Journal of Ad Hoc and Ubiquitous Computing 33(3), p.168-183
    DOI: 10.1504/IJAHUC.2020.106645
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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