S031

BCI-Enabled Prosthetic Arm for Hand Gestures

Dr. Thangavel Bhuvaneswari, Prof. Lim Way Soong, Dr. Yeo Boon Chin, Dr. Min Thu Soe, Kelvin Wong , Lim Zhen Bang

AFFILIATION
Faculty of Engineering & Technology, Multimedia University

Description of Invention

This research focuses on the development of a Brain-Computer Interface (BCI)-enabled prosthetic arm that utilizes electroencephalography (EEG) signals to control hand gestures, aiming to enhance the quality of life for amputees. The EEG headset for brain signal acquisition, enabling the decoding of motor intentions from EEG signals for functional control of a prosthetic arm. Using 3D-printed technology and servo motors, the prosthesis allows precise finger movements in three styles: opening and closing fingers starting from the thumb, from the pinky, or all at once. The design extends to expressive hand gestures such as “rock,” “call me,” and “punch,” demonstrating the practical application of neurotechnology in improving communication and independence for users. This work highlights the potential of neurotechnology to offer both functional and expressive control, fostering greater autonomy for amputees.