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论文类型：会议论文

发表时间：2016-05-04

收录刊物：EI、CPCI-S、SCIE、Scopus

页面范围：647-652

关键字：inertial measurement unit(IMU); phase detection; feature extraction; walking; swimming

摘要：In this paper, a new method of human motion segmentation is proposed, which the inertial data of human movement was acquired through wearable Inertial measurement unit (IMU), and the feature of raw time series data was directly extracted, which was segmented by sliding window, and then by combining Support Vector Machines (SVM) classifier as the algorithm of motion phase detection. The experimental result shows that the potential pattern of human movement by segmenting the motion phase can be found through pattern recognition technique. The method can be applied into different human movements, such as walking and swimming. The feasibility and effectiveness has been verified.