SEMG-based Posture Recognition of Elbow Flexion and Extension
Surface electromyographic signal (sEMG) is used in some fields such as human machine interaction and measurement of human motor function,because it can reflect the activation of human muscle.Though the recognition of motion pattern of human limbs has been researched for many years,continuous recognition for human elbow motion without load is still difficult because of low signal noise ratio (SNR).In this paper,we proposed an improved weighted peaks method to process the filtered sEMG signals from the biceps muscle and adapted linear fitting method to obtain the elbow motion in sagittal plane.The experiments showed the proposed method can effectively process the sEMG signals and obtain the activation of biceps muscle.The experimental results show the similar data of elbow motion compared to the data derived from an inertia sensor.
SEMG Recognition for motion pattern Improved Weighted Peaks
Zhibin Song Zhenyu Wang Shuxiang Guo
Beijing Institute of Technology, China 5 South Zhongguancun Street, Haidian District, Beijing, 10008 Beijing Institute of Technology, China 5 South Zhongguancun Street, Haidian District, Beijing, 10008 Beijing Institute of Technology, China 5 South Zhongguancun Street, Haidian District, Beijing, 10008
国际会议
2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)
北京
英文
448-452
2013-05-25(万方平台首次上网日期,不代表论文的发表时间)