Design of Hand Exoskeleton for Paralysis with Voice Pattern Recognition Control

Abstract

The paralysis that occurs in the human limbs can be caused by strokes, injuries, age problems, and ligament damage. The purpose of this study is to design a hand exoskeleton as rehabilitation in patients who have had a stroke in hand. The contribution of this research is to design a hand exoskeleton with a control system to control mechanical movements using voice command so that it can be used by patients who have a stroke. To be used by patients who have a stroke, the researcher designed a control system using voice pattern recognition so that patients who have weak myoelectric signals can control the mechanics easily. This device uses the voice recognition module V3 as a voice command to control open and control close mechanical movements. This device is capable of recording and running commands directly by using the push button, which consists of a start, save, reset, open command record, and close command record. In the open command obtained an accuracy value of 97%, the close command obtained an accuracy value of 93%. The results showed that the voice commands given had an average accuracy rate of 95%. The results of this study can be implemented as a rehabilitation device for people who have had a stroke to try to mimic human hand movements.