Title :
A prosthetic hand system based on neural network theory
Author :
Heyuan, Bai ; Dahu, Wang ; Zhiguo, Hu ; Jiaolong, Zhang
Author_Institution :
Sch. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo, China
Abstract :
Many researchers focus on providing approximate manipulation ability of a human hand to that of a prosthetic hand in order to improve the life quality of amputees. In this paper, force sensors are used to sense tendon motion.According to neural network algorithms,a computer receives and processes data of tendon motion,a proportional multifinger prosthesis is able to work depending on the output. Why it is important is because most prosthetics hands today, though expensive, provide only 1 DOF gripping. Finally, the resultant prosthetic hand motion and the tendon forces produced are given and results are discussed.
Keywords :
force sensors; handicapped aids; manipulator dynamics; neural nets; prosthetics; amputees; force sensors; manipulation ability; multifinger prosthesis; neural network theory; prosthetic hand system; tendon motion; Circuits; Fingers; Force sensors; Humans; Instruments; Neural networks; Neural prosthesis; Prosthetic hand; Tendons; Voltage; DOF; force sensor; neural network theory; prosthesis;
Conference_Titel :
Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6775-4
DOI :
10.1109/ICBBT.2010.5478946