
Improved Prosthetic Hand Control with Synchronous Use of Voice Recognition and Inertial Measurements
Author(s) -
Omer Saad Alkhafaf,
Mousa K. Wali,
Ali H. Al-Timemy
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/745/1/012088
Subject(s) - control (management) , inertial frame of reference , computer science , control system , inertial measurement unit , prosthetic hand , signal (programming language) , speaker recognition , voice command device , control engineering , artificial intelligence , engineering , speech recognition , physics , quantum mechanics , electrical engineering , programming language
Voice control is one of the easiest means of interacting with machines, as no extra effort is required to generate a control signal. In addition, voice control is more intuitive than other control methods. Many studies use voice recognition to control medical devices and hand prostheses in real-time, but its use has some limitations. Furthermore, some studies take advantage of inertial measurement of the body organ to control the hand prostheses. By reviewing the advantages and limitations for each control method faces, a new synchronised control system proposed, that combines voice recognition and inertial measurement based on three combination strategies to render the prosthetic hand more dexterous, feasible, and easy to use. Five participants tested the control system based on the combination strategies to perform simple and complex prosthetic hand movements. The results showed that voice recognition had about 99% accuracy and rapid response time. Moreover, the inertial measurement control system improved the accuracy of the system, increased the degrees of freedom, and made the use of the prosthetic hand easier and more feasible.