Control of hand bioprosthesis via sequential recognition of patient's intent using combination of fuzzy sets and dempster-shafer theory

Abstract

The paper presents a concept of bioprosthesis control via recognition of user intent on the basis of myopotentials acquired from his body. The contextual recognition of elementary actions is considered and recognition algorithm based on fuzzy inference system with mathematical evidence model is described. Proposed method was experimentally tested on the real data dealing with grasping of different objects limited to the sequences of seven steps of elementary actions. © 2008 Springer-Verlag Berlin Heidelberg.