ENVIRONMENT INDEPENDENT DIRECTIONAL GESTURE RECOGNITION TECHNIQUE FOR ROBOTS USING MULTIPLE DATA FUSION
Abstract: A technique is
presented here for directional gesture recognition by robots. The usual
technique employed now is using camera vision and image processing. One major
disadvantage with that is the environmental constrain. The machine vision
system has a lot of lighting constrains. It is therefore only possible to use
that technique in a conditioned environment, where the lighting is compatible
with camera system used. The technique presented here is designed to work in
any environment. It does not employ machine vision. It utilizes a set of
sensors fixed on the hands of a human to identify the direction in which the
hand is pointing. This technique uses cylindrical coordinate system to
precisely find the direction. A programmed computing block in the robot
identifies the direction accurately within the given range.
Keywords: gesture recognition;
cylindrical coordinates; direction of arrival; line segment; position of point
Author: Kishore Abishek
Journal Code: jptkomputergg130008
