Abstract:
Biofeedback is a technique that uses electronic devices to monitor and measure
changes in the body’s activity. It is used to train patients to control their bodily functions
to achieve balance and improve their health conditions. Currently, biofeedback systems
utilize electromyography (EMG) signals from muscle activities for medical applications such
as tracking muscle activities and physical rehabilitation to aid in muscle recovery. It is also
being used to develop control systems for prosthetic limbs. This research aims to develop
a biofeedback system that acquires EMG signal data in real-time to generate control
commands for a competitive game between two players, where the difficulty level can
be adjusted according to the user's physical strength. Surface electrodes are placed on
the Flexor Carpi Ulnaris (FCU) and Extensor Carpi Radialis (ECR) muscles to acquire EMG
signals of the arm. These signals are used to control a character within the game. The
results of the experiment show that the appropriate threshold level for playing the
competitive game is between 80% to 90% of maximum voluntary contraction (MVC) level,
and the delay time of the system ranges between 13 to 16 milliseconds. Therefore, it can
be concluded that a competitive game using biofeedback signals can provide responsive
feedback to the user and be adjusted to their physical ability level.