Design and Development of an Assistive Voice-Based Gesture Controlled Robotic Hand

Abstract

Amputees experience a great impact on their ability to carry out fundamental daily activities such as grasping, holding, lifting, and manipulating objects with their upper limb. Over the years, various prosthetic hand technologies have been proposed and developed, including body-powered prosthetics, myoelectric prosthetics, and neural prosthetics. Despite the availability of modern prosthetic hand systems, they are still expensive and require complex signal processing techniques, limiting their availability for a large population, especially in developing countries. Recently, various alternative human-machine interaction methods such as gesture recognition systems, brain-computer interfaces, and speech recognition systems have been explored. Among these methods, voice-controlled prosthetic hands can be used as a simple and intuitive solution that minimizes hardware complexity and costs. This review paper provides a comprehensive review of different prosthetic hand control methods with a particular focus on voice-controlled prosthetic hands. The study compares different prosthetic hand systems such as EMG-based systems, vision-based systems, BCI systems, and speech recognition systems on different criteria such as costs, complexities, reliability, and usability. Additionally, design considerations, hardware architecture, advantages, disadvantages, and future research directions of voice-controlled prosthetic hands are presented.