Control of dexterous bio-prosthetic hand via sequential recognition of EMG signals using fuzzy relations.
The paper presents a concept of bio-prosthesis control via recognition of user intent on the basis of myopotentials acquired of his body. We assume that in the control process each prosthesis operation consists of specific sequence of elementary actions. The contextual (sequential) recognition is considered in which the fuzzy relation approach is applied to the construction of a classifying algorithm. Experimental investigations of the proposed algorithm for real data are performed and results are discussed.
Kurzynski
Marek
M
Faculty of Electronics, Wroclaw University of Technology, 50-370 Wroclaw, Poland. marek.kurzynski@pwr.wroc.pl
Wolczowski
Andrzej
A
D004576:Electromyography / Q000379:methods; D017143:Fuzzy Logic; D006225:Hand; D006801:Humans; D009119:Muscle Contraction; D010363:Pattern Recognition, Automated; D019736:Prostheses and Implants