EEG Based Brain Controlled RC Car with Attention Level

Abstract

The brain-controlled interface is gaining popularity in the academic and research industry due to its promising performance in many fields. In this research work, a prototype is mentioned to help the Quadriplegic patients move the wheelchair from their thinking decision. The proposed method used the BCI technology that takes the input data in an EEG signal using a Neurosky headset. The signal is then processed and classified into five significant actions. The movement of the remote-controlled (RC) car is controlled through attention levels. We incorporate the Internet of Things (IoT) for wireless communication that transmits the data using an android application. For safety purposes, we have designed a mobile application that allows the user to control the RC car manually. The proposed method was implemented on the RC car, and the attention level of 5 different subjects was recorded for 3 min. A video of our experiments can be found at https://www.youtube.com/watch?v=UzPGdy54AZw.