Robotic Hand Control VIA Muscle Whispers Using EMG Sensor and Servo Motors

Abstract

The ability to control robotic hands with natural and intuitive movements has significant implications for various applications, including prosthetics, rehabilitation, and industrial automation. In this paper, we present a novel approach to robotic hand control via muscle signals detected by Electromyography (EMG) sensors, coupled with servo motors for actuation. Termed "muscle whispers," these subtle electrical signals generated by muscle contractions are captured using EMG sensors and interpreted to control the movements of a robotic hand. We provide a comprehensive overview of the design and implementation of the robotic hand control system, detailing the integration of EMG sensors and servo motors. Our experimental results demonstrate the effectiveness of the proposed approach in enabling users to manipulate robotic hands with precision and ease. Through rigorous evaluation and analysis, we discuss the implications of our findings for advancing the field of robotic hand control. This research contributes to the development of intuitive and efficient control systems for robotic hands, paving the way for enhanced usability and functionality in a wide range of applications.