A new design of a bionic hand controlled by EMG signals: A preliminary study

A bionic hand might provide a good replacement for the human hand when carrying out various tasks. In recent years, hand movements have been widely recognized via myoelectric control. Although a few research has looked at the hand-grip position, the majority of earlier investigations have concentrated on whole-hand movements. This study's objective was to build a prototype system for determining hand-grip position in order to control a bionic hand by examining EMG signals obtained from the associated muscles. We employed the fuzzy logic method as the classifier to perform hand-grip estimation and several characteristics that are frequently used in literature, such as mean absolute value and root mean square, in the approach for extracting hand-grip features. We developed a two-channel EMG measurement system that can recognize the human handgrip position and control the bionic hand to make the appropriate hand movement. The results of the experiments demonstrate that the bionic hand could accurately imitate the grasping position of the human hand.