Abstract:
Brain Computer Interface (BCI) systems are the tools which are proposed to help the damaged people who are impotent of making a motor response to interface with a computer using brain signal. The aim of BCI is to translate brain activity into digital form which performs as a command for a computer. The BCI application can be used in different areas like Education, Industrial, Gaming and Medical areas. In my project, EEG based Brain controlled Robotic arm has been developed using BCI with the help of NeuroSky technology. ESense is a NeuroSky quick fix algorithm for distinguishing mental states. The Think Gear technology in NeuroSky mind wave headset fetches out the user brainwave signal and removes the muscle movement and atmosphere noise. For the remaining signals, the eSense algorithm is then appealed, which results in the elucidated eSense meter values. The fetched brain signals are transmitted to the Arduino via headset USB wirelessly. The robotic module designed consists of Arduino coupled with motors to perform the control. The attention and meditation level was used to monitor the direction of the robotic arm. The wireless BCI system could allow the paralyzed people to control their arm without any difficulty, provided it is more increased, portable and wearable.
