Human Computer Interaction Through Hand Gestures for Home Automation Using Microsoft Kinect

Gesture recognition has been an attractive area of research since a long time. With the introduction of Microsoft Kinect, hand gesture and body gesture recognition has become handy for the researchers. Here an innovative application has been presented which controls all electrical home appliances through hand gestures. The algorithm presented here is an assistive application useful for physically challenged and senior citizens. In this paper we have used Microsoft Kinect for image capturing along with some important computer vision (CV) and digital image processing techniques (DIP) for hand gesture recognition. Arduino Uno microcontroller and relay circuits are used for controlling electrical devices. The algorithm presented gives an accuracy of 88 %.