Development of a hand prosthesis controlled by electroencephalographic signals using Arduino and Mindflex technology

Abstract

This paper presents the development of a brain- controlled hand prosthesis using Arduino and Mindflex tech- nology. The objective of this research is to design a system that enables individuals with disabilities to control a hand prosthesis through their brain signals. Electroencephalographic (EEG) signals are utilized to capture and interpret the user’s intention to perform specific hand movements. The Neurosky chip is integrated with Arduino to acquire real-time EEG signals, while the Mindflex technology, employing EEG headsets, serves as a non-invasive and user-friendly interface for capturing brain signals. By analyzing these signals, commands are generated to control the movements of the hand prosthesis. The prototype implementation includes the integration of electromechanical components, such as servo motors, for prosthesis activation. Extensive tests and simulations are conducted to evaluate sys- tem performance and efficiency. Validation data from both the openbci device and Mindflex are analyzed and compared to assess the accuracy and reliability of the brain commands. The results demonstrate successful interaction between the user and the servo motor, indicating the feasibility of controlling a hand prosthesis using EEG signals. The achieved accuracy in generating brain commands validates the effectiveness of the developed system. This research contributes to the advancement of prosthetics technology, offering new possibilities for enhancing the quality of life for individuals with disabilities.