MIND WAVE SENSOR CONTROLLED WHEEL CHAIR
| Author(s) | : | R.ChandanaPriya, K.Aparna |
| Institution | : | PG Student, Dept of ECE, JNTUACEP, Pulivendula, A.P, India |
| Published In | : | Vol. 4, Issue 9 — September 2017 |
| Page No. | : | 490-497 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Paralysis is one amongst the major neural disorder that causes loss of motion of one or more muscles of thebody. A brain computer interface (BCI) is a direct neural interface between a human brain and an external world. BCIsacquire brain signals, analyze them, and translate them into commands that are relayed to output devices that carry outdesired actions. Eye movement can be used by the paralysis patients and armless persons to perform simple tasks. Thisproject describes the acquisition and analysis of Eye blink signals for wheel chair operating for paralysis patients. For thisthe system is presented in which wheelchair is controlled using EEG signals obtained from the human brain. The Brainwavesensor products i.e. mind wave device headset is used to measure the human brainwave signals. The standing potentials inthe eye can be estimated by measuring the voltage induced across a system of electrode placed middle the eyes as the eyegaze changes, thus obtaining the blinks. And this blink signal can be used as an input for a MATLAB in PC and performclassification and interfacing to microcontroller in order to control wheel chair. Few switches are provided to operatemanually by the patient.
R.ChandanaPriya, K.Aparna, “MIND WAVE SENSOR CONTROLLED WHEEL CHAIR”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 9, pp. 490-497, September 2017.
