Brain-Computer Interfacing for Wheelchair Control by Detecting Voluntary Eye Blinks

The human brain is considered as one of the most powerful quantum computers and combining with technology can even outperform artificial intelligence. Using a Brain-Computer Interface (BCI) system, signals be analyzed programmed for specific tasks. This research work employs BCI medical application that gives unfortunate paralyzed individuals capability to interact their surroundings solely using voluntary eye blinks. contributes existing more feasible by introducing modular design three physically separated components: headwear, computer, wheelchair. As signal-to-noise ratio (SNR) systems too high separate blink artifacts from regular EEG signal, precise ThinkGear module used which acquired raw signal through single dry electrode. chip offers an advanced filtering has noise immunity along embedded Bluetooth transferred wirelessly computer. A MATLAB program captures waves commands movement miniature wheelchair via Bluetooth. To distinguish blinks involuntary blinks, strength thresholds are determined. Graphical User (GUI) designed in displays real-time enables user determine movements specially take GUI. findings testing phase unveil advantages efficacy control element brain-controlled wheelchairs. presented here basic understanding functionality provides blink-controlled navigation patients suffering severe paralysis.