Breathing Sensor Operated Wheel Chair for Paralyzed Persons
Kavita Burse1, Subrato Howlader2, Prateek Wankhade3

1Dr. Kavita Burse, Professor, Department of Electronics & Communication, Oriental Institute of Science and Technology, Bhopal (Madhya Pradesh). India.
2Mr. Subrato Howlader, Assistant Professor, Department of Electronics & Communication, Oriental Institute of Science and Technology, Bhopal (Madhya Pradesh). India.
3Mr. Prateek Wankhade, Assistant Professor, Department of Electronics & Communication, Oriental Institute of Science and Technology, Bhopal (Madhya Pradesh). India.

Manuscript received on 15 April 2016 | Revised Manuscript received on 25 April 2016 | Manuscript Published on 30 April 2016 | PP: 14-16 | Volume-5 Issue-4, April 2016 | Retrieval Number: D4463045416/16©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The proposed breathing sensor based wheel chair (BSWC) can be controlled using breathing commands. Therefore a ‘disabled’ person can control the BSCWC by himself. Computer input system with breathing commands does not work in real time bases. Moreover it is not robust against various background noises and vibrations. Through experiment it is found that the proposed BSWC is robust against the above mentioned influencing factors. Moreover it is confirmed that the proposed BSWC can be controlled by breathing accurately and safely. The proposed research is a computer controlled wheel chair where sensor and intelligent control algorithm have been used to minimize the level of human intervention.
Keywords: BSWC, Breathing Sensor, Wheel Chair, Paralysis

Scope of the Article: WSN