Modeling of a motion of hand prosthesis based on the fuzzy deductive inference scheme

A model for controlling hand prosthesis is developed in this paper. The hand movements are described by angles of finger and wrist flexion. The problem is set as determination of all angles using electromyography of forearm muscles. The decision-making model with basic fuzzy rule modus ponens is used to solve the problem. Input data is analyzed and transformed to fit the format of the model. Software was developed to implement the decision-making model with fuzzy rule modus ponens. The software provides calculations and visualization of output data. The key advantage of the model is smoothness of output data changes; this way a maximum approach to natural hand movements is reached.