VIDEO CONTROLLING USING HAND GESTURES FOR DISABLED PEOPLE

Among many computer visions based interactive systems, designing hand gesture and facial expression based Human-Computer-Interaction (HCI) system retains to be a highly challenging task. Our main purpose is to find a non-tangible way to interact with the computer. Our project aims at developing a video-player controlled by the human hand gestures by making use of Convolutional Neural Network (CNN). The gestures would serve as the direct command for operations such as play or pause the video. It uses simple gestures to control the video. So people don’t have to learn the machine like skills and only need to remember a set of gestures to control the video playback. Keywords—: Machine Learning, CNN (Convolutional Neural Network), Open CV, Classification model, webcam.