Implementation of Hand Gesture Based Home Automation Using Haar Cascading Algorithm

Home automation is a crucial requirement for today's generation because it supports those with disabilities and the elderly. With the use of hand gesture recognition, home appliances can be controlled more easily than remote controlled home appliances. Under the branch of Human Computer Interaction (HCI), hand gesture recognition systems take images as input and mechanical work as output. This proposed system does real-time image processing for hand gesture identification. The Haar Cascading technique is utilized to process the image, while KNN algorithm is employed for gesture recognition. The experimental results suggest that the proposed method has achieved improved performance as compared to some of the other methods.