English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 54421/89220 (61%)
造访人次 : 10569230      在线人数 : 24
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻
    淡江大學機構典藏 > 體育事務處 > 期刊論文 >  Item 987654321/107011


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107011


    题名: Using accelerometer for counting and identifying swimming strokes
    作者: Pan, Meng-Shiuan;Huang, Ku-Chen;Lu, Tzu-Hsiu;Lin,Ze-Yan
    关键词: Accelerometer;Stroke count;Stroke style;Swimming stroke analysis
    日期: 2016-02-06
    上传时间: 2016-08-15
    出版者: Elsevier BV
    摘要: Stroke styles and stroke counts are the two important parameters for calculating swimming efficiency indices for swimmers. Assume that swimmers wear accelerometers when swimming. In this paper, we design a swimming analysis scheme, which can distinguish swimming styles and count strokes in realtime. The proposed scheme is composed by a data processing phase and a stroke analysis phase. First, the data processing phase gathers linear acceleration values, eliminates floating data, and finds feature points in the perceived sensory data. According to the data from the data processing phase, the stroke analysis phase identifies the stroke style that the swimmer is performing, and then adopts the concept of correlation coefficient to count strokes. We implement the proposed scheme on a water-proof Android platform. The experiment results indicate that the proposed scheme can identify swim styles and count strokes with high accuracy.
    關聯: Pervasive and Mobile Computing 31, p.37–49
    DOI: 10.1016/j.pmcj.2016.01.011
    显示于类别:[資訊工程學系暨研究所] 期刊論文
    [體育事務處] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML172检视/开启
    index.html0KbHTML164检视/开启
    Using accelerometer for counting and identifying swimming strokes.pdf873KbAdobe PDF0检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈