Publication Type:

Book Chapter

Source:

Autonomous Robots: Control, Sensing and Perception, Cuvillier-Verlag Publishing House (2011)

Keywords:

Customizable, gesture based, Physically challenged, Wheelchair

Abstract:

There are a large number of people in the world with debilitating
physical disabilities, who experience significant difficulties in
performing even very basic tasks such as locomotion, speaking,
writing etc. The worst affected class of physically challenged are
those who have become paralyzed over a significant percentage
of their bodies, i.e. quadriplegics. These people find it extremely
difficult to perform any task that requires even small amounts of
force. Therefore, the best option is a gesture-based interaction
with their environment, in particular their wheelchairs. Our
proposed system uses a small camera mounted very close to the
quadriplegic’s hand, which tracks the small movements of their
fingers to understand where they wish to travel to. The
recognition system is then interfaced to the wheelchair control
system in order move it to the desired location. The wheelchair
control system we are developing has the following salient
features - effortless to use, customizable, economical, highly
convenient and non-intrusive. The main goal that we aim by
doing this project is to bring out a real working model of the
system. The physically challenged can themselves sit on the
wheelchair and test the product. This will definitely make a huge
impact on the society because of its salient features mentioned
above.

Cite this Research Publication

Rajesh Kannan Megalingam, Prakhya, S. Manoj, and Nair, M. Mohan Rame, “Intelligent Home Navigation System for the Elderly and physically challenged”, in Autonomous Robots: Control, Sensing and Perception, Cuvillier-Verlag Publishing House , 2011.