An EOG Signal based Framework to Control a Wheel Chair

View Sample PDF

Author(s): Pushpanjalee Konwar (Assam Don Bosco University, India)and Hemashree Bordoloi (Assam Don Bosco University, India)
Copyright: 2015
Pages: 25
Source title: Intelligent Applications for Heterogeneous System Modeling and Design
Source Author(s)/Editor(s): Kandarpa Kumar Sarma (Gauhati University, India), Manash Pratim Sarma (Gauhati University, India)and Mousmita Sarma (SpeecHWareNet (I) Pvt. Ltd, India)
DOI: 10.4018/978-1-4666-8493-5.ch003

Keywords: Computer Science & IT / Information Science Reference / Systems & Software Design / Systems and Software Engineering

Purchase

View An EOG Signal based Framework to Control a Wheel Chair on the publisher's website for pricing and purchasing information.

Abstract

Elecrooculogram (EOG) signal extraction is critical in the working of any electrooculography aided system based upon the tracking of the ocular movement of the eye dipole. In this chapter the signals captured using sensors (electrodes), are first amplified, then the noise is removed and then digitized, before being transferred to controller for movement of the wheelchair. Finally, from the muscle sensor, the output is directly being given to the controller to reach the target and complete the control of the movement of the wheelchair. Initially, a potentiometer is used instead of the Ag-Agcl electrodes to test the strength of signal obtained due to the movement of the eyes. Using this wheelchair is quite an advantage because this chair helps a physically handicapped person to move freely without being dependent on anyone else. The research provides a new method for human-machine interface system.

The IRMA Community

Research IRM

An EOG Signal based Framework to Control a Wheel Chair

Purchase

Abstract

Related Content

IRMA Sponsors