Justin Hong
Seoul International School, Seoul, Republic of Korea
Abstract
The development of wearable robots is essential for enhancing the quality of life in various fields, including rehabilitation, industrial assistance, and personal support. This study aims to develop a SMART ARM (Artificial Robotic Manipulator) using electromyography (EMG) sensors and the Arduino platform. EMG sensors are critical for detecting muscle activity and interpreting user intentions, enabling more natural and efficient robot control. The research involves the design, development, and evaluation of a prototype that uses low-cost Arduino hardware to create a practical and accessible wearable robot system.
The literature review highlights the advancements in wearable robot technology, EMG sensor applications, and the benefits of the Arduino platform. The theoretical background delves into the principles of EMG signals, Arduino fundamentals, and the importance of signal processing and control algorithms. The system design encompasses both hardware and software components, focusing on real- time EMG signal processing and robotic arm control.
Experiments were conducted to assess the system’s performance under various conditions. Results indicate high accuracy and reliability in controlling the robotic arm using EMG signals. The findings demonstrate the feasibility of implementing a cost-effective wearable robot system with practical applications in rehabilitation and industrial settings.
The study’s contributions include validating the Arduino platform’s potential for creating affordable wearable robots and suggesting improvements for future research, such as integrating machine learning algorithms to enhance EMG signal interpretation. Future prospects involve developing more sophisticated and user-friendly wearable robots by leveraging advanced technologies.
