Wheelchair Movement Control VIA Human Eye Blinks

Many disorders can disrupt the neuromuscular channels used by the brain to communicate with and control its external environment. Patients with severe neural disorders lose most of voluntary muscle control. Some patients can control their eye movements and may be able to communicate. In the absence of methods for repairing the damage done by these disorders, the only option for restoring function to those with motor impairments is to provide the brain with a new, muscular/non-muscular and non invasive communication and control channel, a direct Brain Machine Interface (BMI) for conveying messages and commands to the external world. An attempt has been provided to collect the brain activities and extract specific estimations to control the wheelchair movement. The data has been collected though fourteen electrodes fixed on the scalp by modern strategy (without non-drying conductive past). This method has used a wireless communication head set based on the hydration sensors and Bluetooth technology. Four movements are detected (turn right – turn left – forward - stop) based on the eye blinks (right wing, left wing, single/double blinks). The wavelet has used to extract best signals and NN system to take the learning sessions and give the required action.