Fuzzy Deductive Inference Scheme Application in Solving the Problem of Modelling Movements of the Hand Prosthesis

Alexander Bozhenyuk, Vitalii Bozheniuk, Alexandra Khamidulina


The decision-making model with basic fuzzy rule modus ponens is suggested in this paper to control the hand prosthesis. The hand movements are described by angles of finger and wrist flexion. Electromyogram (EMG) of hand muscles was used as a source of the input data. Software was developed to implement the decision-making model with fuzzy rule modus ponens. In particular, the software receives EMG data, executes calculations and visualises the 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.


Electromyogram; fuzzy inference; hand prosthesis; modus ponens

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