Patients suffering from below knee amputation utilize ankle-foot prostheses to regain partial mobility. Research efforts have focused on improving device functionality to offer patients a higher standard of living. This study proposes a novel algorithm for device control, which utilizes input from two sensors to relay data into the control system. The system processes the data according to a set of rules, and outputs a respective foot angle value to mimic the normal motion of the ankle-foot complex in natural cadence. Matlab Simulink offers exceptional utility in developing a computa-tional model for evaluating the efficacy of the rule system. Comparison of the true and theoretical foot angle values produced low levels of error underlining the overall effectiveness of the algorithm.

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