Publication Type:

Conference Paper

Source:

Proceedings - 2012 IEEE Global Humanitarian Technology Conference, GHTC 2012, Seattle, WA, p.350-355 (2012)

ISBN:

9780769548494

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84873160214&partnerID=40&md5=8a366bae48718330841314d52b9e4783

Keywords:

Customizable, economical, Elderly people, elderlyand physically challenged, Executables, gesture based, Gesture recognition, Gesture recognition system, Gesture-based interaction, Handicapped persons, Hardware, Hardware implementations, Image processing, Non-intrusive, Physical disability, Research studies, User friendly, Wheelchair control, Wheelchairs

Abstract:

<p>Various research studies conducted all around the world reveal that 75% of people with debilitating physical disabilities and elderly people experience significant difficulties for their day to day locomotion. Although there are existing solutions to overcome this problem, none of them served to be customizable, economical and user friendly all at the same time. Therefore, one of the best options that could be useful for these affected class of people is a gesture-based interaction with their environment, in particular their wheelchairs. The proposed system named as 'Gest-BOT', uses a small camera mounted very close to the user's hand, which tracks the small movements of their fingers to understand the direction of movement of the wheelchair. A gesture recognition system which identifies the gesture is then interfaced to the wheelchair control system in order move it to the desired location. Gest-BOT is effortless to use, customizable, economical, highly convenient and non-intrusive. The hardware implementation of Gest-BOT consists of a wheelchair, an Arduino board based ATmega microcontroller and an Intel Atom EBC-352 processor, which uses MATLAB® executables for gesture image processing. We have also calculated the response of the system under various conditions which is detailed in the paper. © 2012 IEEE.</p>

Notes:

cited By 0; Conference of 2nd IEEE Global Humanitarian Technology Conference, GHTC 2012 ; Conference Date: 21 October 2012 Through 24 October 2012; Conference Code:95200

Cite this Research Publication

Rajesh Kannan Megalingam, Nair, R. N., Prakhya, S. M., and Mohan, M., “Gest-BOT-A highly convenient locomotive solution for the elderly and physically challenged”, in Proceedings - 2012 IEEE Global Humanitarian Technology Conference, GHTC 2012, Seattle, WA, 2012, pp. 350-355.

207
PROGRAMS
OFFERED
5
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS