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題名:基於Kinect之銀髮族體適能距離量測系統設計
書刊名:管理資訊計算
作者:謝愛家 引用關係張峻彬 引用關係劉川綱 引用關係張峻瑋
作者(外文):Hsieh, Ai-jiaChang, Chun-pinLiu, Chuan-gangChang, Chun-wei
出版日期:2019
卷期:8:特刊2
頁次:頁102-113
主題關鍵詞:銀髮族體適能檢測i運動資訊平臺椅子坐姿體前彎抓背測驗SeniorsPhysical fitness testingiSports information platformChair sit-and-reachBack scratch test
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:12
  • 點閱點閱:4
本研究是基於Kinect體感設備,依教育部體育署的規範設計一套銀髮族體適能的「椅子坐姿體前彎」及「抓背測驗」等二項之自動檢測系統。椅子坐姿體前彎檢測主要採使用者影像資料,依國民體適能檢測項目之檢測流程及注意事項,設計五個階段:預備、勾腳尖、手往前伸、檢測及評估;而抓背測驗設計四個階段:預備、慣用手往後、另一手往後、檢測及評估。經實際測試後,坐姿體前彎檢測的平均誤差約0.55公分;而抓背測驗的平均誤差約-1.03公分。
This study is based on Kinect somatosensory equipment, according to the specifications of the Sports Administration of the Ministry of Education, to design two seniors physical fitness testing systems: chair sit-and-reach test distance measurement and back scratch test distance measurement. The chair sit-and-reach test distance measurement is mainly based on the user's data. According to the testing process and precautions of the National Fitness Test, the design is in five stages: preparation, hook tip, hand extension, detection and evaluation. The back scratch test distance measurement is designed in four stages: preparation, habitual hand backwards, another hand backwards, detection and evaluation. After the real test, the average error of the chair sit-and-reach test distance measurement is about 0.55 cm; and the average error of the back scratch test distance measurement is about -1.03 cm.
期刊論文
1.蕭伃伶、劉淑娟(20040900)。老年人的健康體適能。長期照護雜誌,8(3),300-310。  延伸查詢new window
2.黃思維、李勝雄(20120600)。體適能研究現況探討。屏東教大體育,15,34-45。new window  延伸查詢new window
3.吳伊婷、蔡俊賢(20140700)。國內外體適能檢測項目比較研究。高師大體育,12,46-57。  延伸查詢new window
4.張耿介、林新龍(20151200)。銀髮族體適能檢測意義與內涵之探究。屏東大學體育,1,205-220。new window  延伸查詢new window
5.蘇榮基(20081100)。體適能檢測軟體系統發展的研究。弘光人文社會學報,9,241-264。new window  延伸查詢new window
6.程雪蓮、段渭軍、高昂(2016)。基於Kinect的無接觸式體質檢測方法。傳感器與微系統,35(3),85-88。  延伸查詢new window
7.謝愛家、張峻彬、盛夢徽、吳佩靜(20180800)。銀髮族體適能自動檢測系統之研究--以肱二頭肌手臂屈舉為例。管理資訊計算,7(特刊1),81-89。new window  延伸查詢new window
會議論文
1.Chen, C.、Liu, K.、Jafari, R.、Kehtarnavaz, N.(2014)。Home-based Senior Fitness Test measurement system using collaborative inertial and depth sensors。36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,Engineering in Medicine and Biology Society 。Chicago:IEEE。  new window
2.Goncalves, A. R.、Gouveia, E. R.、Cameirao, M. S.、Badia, S. B.(2015)。Automating senior fitness testing through gesture detection with depth sensors。IET International Conference on Technologies for Active and Assisted Living。London。  new window
3.Kovac, J. Peer, P. Solina, F.(2003)。Human Skin Colour Clustering for Face Detection。International Conference on Computer as a Tool EUROCON,144-148。  new window
研究報告
1.行政院內政部(2019)。內政統計通報--108年第5週。  延伸查詢new window
圖書
1.Rahman, Mansib(2017)。Beginning Microsoft Kinect for Windows SDK 2.0: Motion and Depth Sensing for Natural User Interfaces。Apress。  new window
其他
1.行政院教育部體育署(2017)。65歲以上銀髮族體適能健身寶典,http://www.sa.gov.tw/wSite/public/Attachment/f1483598216485.pdf。  延伸查詢new window
2.何永彬(2017)。高齡者體適能檢測與增進方式,http://c.nknu.edu.tw/adulteducenter/UploadFile/News/201710510433/高齡者體適能檢測與增進方式.pdf。  延伸查詢new window
3.體育署(2018)。國民體適能檢測項目及說明,http://www.beclass.com/share/201804/6477923328417smg_1.pdf。  延伸查詢new window
4.Pterneas, Vangos(2016)。Detect a Weight-Lifting Bar using Kinect,https://pterneas.com/2016/05/17/weight-lifting-bar-kinect/。  new window
5.Pterneas, Vangos(2017)。Floor Detection using Kinect,https://pterneas.com/2017/09/10/floor-kinect/。  new window
6.程雪蓮,段渭軍,張雷,謝翟(2015)。基於Kinect的無接觸式學生體質測評方法(CN105608467A)。  延伸查詢new window
7.體育署(2019)。i運動資訊平台:107年運動現況調查結案報告,https://isports.sa.gov.tw/Apps/TIS08/TIS0801M_01V1.aspx?MENU_CD=M07&ITEM_CD=T01&MENU_PRG_CD=12&LEFT_MENU_ACTIVE_ID=26。  new window
 
 
 
 
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