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《Proceedings of the 2011 Chinese Control and Decision Conference(CCDC)》2011年
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Realtime Gait Kinematics Classification Using LDA and SVM

【摘要】:Gait analysis is an important part of intelligent prosthesis researching.The automatic segmentation and classification of gait kinematic signal could help intelligent prosthesis to get better control performance.Much feature extraction method was employed by researchers,but it could still be improved.The wavelet based filter is adopted in this paper to segment the gait kinematics data,and LDA/SVM is employed to improve the accuracy of recognition.Result shows better performance than that using traditional method.

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1 ;Realtime Gait Kinematics Classification Using LDA and SVM[A];Proceedings of the 2011 Chinese Control and Decision Conference(CCDC)[C];2011年
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