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Motion information analysis system based on acceleration signals

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A motion information analysis system based on the acceleration data is proposed in this paper,consisting of filtering,feature extraction and classification.The Kalman filter is adopted to eliminate the noise.With the time-domain and frequency-domain analysis,acceleration features like the amplitude,the period and the acceleration region values are obtained.Furthermore.the accuracy of the motion classification is improved by using the k-nearest neighbor(KNN)algorithm.

motion analysisacceleration dataKalman filterk-nearest neighbor(KNN)

LIU Shu-peng、CHEN Lin、DAI Li-li、Lu Yan-qing、YAN Zhuang-zhi

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School of Communication and Information Engineering,Shanghai University,Shanghai 200072,P.R.China

In-shoe Triaxial Pressure MeasurementShanghai Innovation Project

07DZ12077

2010

10.1007/s11741-010-0209-2

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子：0.196
ISSN：1007-6417
年,卷(期)：2010.14(2)
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