Write a paper developing a smart wheelchair which uses EEG signals captured from disabled person to operate the wheelchair. Interfacing the computer with brain can be done using Brain-Computer Interface (BCI) technology by connecting the EEG headset to capture the signals from the brain. In this system the non-invasive BCI technology is used for abstracting the EEG signals to perform movement of wheelchair, it helps the person with disability to move from one place to another without the help of caretaker. The EEG device used for this model is brain sense headset with single electrode and Bluetooth enabled to interface with the computer for simulating the brain signals. The artifact signals such as eye blinking and jaw sneezing are used in this system for giving commands required for moving wheelchair in desired direction by the user. Arduino is used for assigning input to the cytron motor driver which is used to drive the motors for wheelchair movement. In MATLAB a code was developed for showing the visual direction setup with a rotating knob to each direction arrow by highlighting in colour with some time delay. When the disabled person wants to move his wheelchair in required direction the EEG signals developed from that person brain in terms of artifact signals will be transmitted to a computer device using UART method and those signals are processed using MATLAB to send commands to Arduino for moving the wheelchair in the desired direction such as forward, backward, left and right. when the user makes an eyeblink it is captured by headset and transmitted to computer device for checking the threshold level to confirm that it is in the range specified previously in the program or not. If condition is satisfied, then it transmits the command to Arduino for driving the wheelchair in desired direction.
