Control strategies for smart prosthetic hand technology: an overview.
A chronological overview of the applications of control theory to prosthetic hand is presented. The overview focuses on hard computing or control techniques such as multivariable feedback, optimal, nonlinear, adaptive and robust and soft computing or control techniques such as artificial intelligence, neural networks, fuzzy logic, genetic algorithms and on the fusion of hard and soft control techniques. This overview is not intended to be an exhaustive survey on this topic and any omissions of other works is purely unintentional.
Naidu
D
D
Measurement and Control Engineering Research Center, Idaho State University, Pocatello, ID 83209-8060, USA. naiduds@isu.edu
Chen
Cheng-Hung
CH
Perez
Alba
A
Schoen
Marco P
MP
D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D003205:Computing Methodologies; D003661:Decision Support Techniques; D004576:Electromyography / Q000379:methods; D005246:Feedback; D006225:Hand / Q000033:anatomy & histology; D006801:Humans; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D019736:Prostheses and Implants; D012984:Software