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- W3110435331 abstract "This paper presents an EMG based active system for a prosthetic hand. The dominant muscles for each finger movements are identified by the anatomical study of the arm. EMG signals are recorded on these muscles and analyzed. Threshold-based detection is used for the classification of different finger movements. The recovered signals are used as a control for the prosthetic hand. The focus of the study is the control of a prosthetic hand with five fingers each with a single degree of freedom by using separate EMG signal for each finger obtained from a unique location of the forearm so as to bypass extensive classification techniques and achieve accuracy." @default.
- W3110435331 created "2020-12-07" @default.
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- W3110435331 date "2020-10-20" @default.
- W3110435331 modified "2023-09-27" @default.
- W3110435331 title "Active Prosthesis of Human Hand" @default.
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- W3110435331 doi "https://doi.org/10.1109/raeecs50817.2020.9265856" @default.
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