Body Motion Control via Brain Signal Response

Abstract

Brain-Computer-Interface (BCI) can be used for many purposes in many areas, especially in the field of robotic and rehabilitation. But nowadays only single BCI applications have been applied and this has given a lot of limitations to this technology. So one of the step to optimize the BCI’s capabilities, it should be used together with other up-to-date technologies. One of the most widely used and update technologies in the rehabilitation and robotic is the functional electrical stimulation (FES). This combination of BCI and FES can provide many benefits such as in rehabilitation applied in stroke rehabilitation and mental depression treatment while for robotic will give benefit in robot control. This study present a simulation and control technique for body motion via this combination. This combination will bring better handling in control some devices. Emotiv Insight will be used as a brainwave data capture. The eye blinking activity of the subject was detected using the Emotiv device and then be translated to control the device in simulation environment. The system reliably enabled subjects to control the body motion through their brain.