Finger Flexion Motion Inference from sEMG Signals

• 作 者: Kyung-jin YOU Ki-won RHEE Hyun
• 机 构: Dept.ofInformation&,Telecommunication
• 出 处: 测试科学与仪器：英文版
• 发表日期: 2011年2期
• 关键词: 表面肌电信号 手指运动 推理 科目训练 估计方法 最大似然 侵入性 准确率 surface EMGfinger flesionpattem classifica
• 基金项目: This research was supported by the The Ministry of Knowledge Economy, Korea, under the ITRC（Information Technology Research Center ） support program supervised by the IITA （Institute for Information T

This paper provides a method to infer finger flexing motions using a 4-channel surface Electromyogram(sEMG).Surface EMGs are harmless to the human body and easily done.However,they do not reflect the activity of specific nerves or muscles,unlike invasive