關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Using accelerometer for counting and identifying swimming strokes

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序號 學年期 教師動態
1 105/1 資工系 潘孟鉉 副教授 期刊論文 發佈 Using accelerometer for counting and identifying swimming strokes , [105-1] :Using accelerometer for counting and identifying swimming strokes期刊論文Using accelerometer for counting and identifying swimming strokesPan, Meng-Shiuan; Huang, Ku-Chen; Lu, Tzu-Hsiu; Lin,Ze-YanAccelerometer;Stroke count;Stroke style;Swimming stroke analysisPervasive and Mobile Computing 31, p.37–49Stroke 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 co
2 105/1 體育教學組 黃谷臣 教授 期刊論文 發佈 Using accelerometer for counting and identifying swimming strokes , [105-1] :Using accelerometer for counting and identifying swimming strokes期刊論文Using accelerometer for counting and identifying swimming strokesPan, Meng-Shiuan; Huang, Ku-Chen; Lu, Tzu-Hsiu; Lin,Ze-YanAccelerometer;Stroke count;Stroke style;Swimming stroke analysisPervasive and Mobile Computing 31, p.37–49Stroke 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 co
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