Gesture controlled automation for physically impaired

Abstract

Hand gesture recognition system is widely used for interfacing between computer and human using hand gesture. This work presents a room for automation system using hand gestures, which is meant for physically impaired. The objective of project is to develop an algorithm for recognition of hand gestures with rea- sonable accuracy. Most of the gesture recognition system fails when the back- ground is complex, here in our method we use hand detection in complex background. Hu moments are used as feature which is used to classify the gestures. Kinect sensor is used to get the input video which will give the depth map from which we will get the location of the people performing gesture. Two gestures are used to switching on and off function for an Electrical appliance. Arduino Board is used to interface between the computer and the appliances.