Vol. 4, Issue 6 (2017)
Automated wheel-chair on eyebrow movements using brain wave sensor by EEG
Author(s): Akar Jain, Dhaval Petiwala, Prakash Narayan, Shantanu Shobhit
Abstract: This project presents brain controlled applications based on Brain–computer interface (BCI). BCI is becoming increasingly studied as the way users interact with computers because recent technological developments have led to low priced, high precision BCI devices. These systems can bypass conventional channels of communication (i.e., muscles and thoughts) between human brain and physical devices. The device tested in this paper is called NeuroSky MindWave Mobile, which is an electroencephalograph (EEG) measuring device and enables the measuring of brain activity using 2 strategically placed sensors – 1) A clip on Ear Lobe 2) Electrode on the forehead. With the help of this, we are analysing the brain wave signals. Human brain have millions of interconnected neurons. The interaction pattern between these neurons is represented as emotional states and thoughts. This pattern will be changing as the human thoughts changes, which in turn produce different electrical waves. Neural bio-recorder used as input which measures and interprets brain activities. The application of a single electrode measures the change in field potential over time arising from synaptic current and forms the basis for EEG. Readings will be inferred from processing beta and alpha waveform activity. Provides two 100-scale outputs described by the NeuroSky MindWave Mobile chip as “Attention” and “Meditation”. Eye blinking results can be found by observing a peak difference in voltage value of brain wave signals. For a variety of inputs from the users, the number of eye blinks can be recorded and different tasks can be associated with them.electrical waves are sensed by the brain sensor which converts that data into packets and transmitting via a Bluetooth medium to Ardunio due to which automation is achieved.