Real-Time Hand Tracking for HumanComputer Interaction
Ayush Tripathi, Kanishk Puri, Nilesh Srivastava, Prateek Dham (Students) Mrs S.S Dhotre(Professor) Computer Science Department Bharati Vidyapeeth Deemed University College of Engineering Pune, Maharashtra(India)

Abstract- The proposed work is part of a project that aims for the control of a mouse based on hand gesture recognition. This goal implies the restriction of real-time response and unconstrained environments. This is basically a vision based skincolour segmentation method for moving hand in real time application [3]. This algorithm is based on three main steps: hand segmentation, hand tracking and gesture recognition from hand features. For the hand segmentation step we use the colour cue due to the characteristic colour values of human [1].

The hands are recognized by the computer using the skin colour as one of the basic features for the hand recognition. The important feature is the accurate segmentation of hands [3].

I. Introduction
Nowadays, the majority of the human-computer interaction (HCI) is based on mechanical devices such as keyboards, mouse, joysticks or gamepads. In recent years there has been a growing interest in a class of methods based on computational vision due to its ability to recognise human gestures in a natural way .These methods use as input the images acquired from a camera or from a stereo pair of cameras. The main goal of these algorithms is to measure the hand configuration in each time instant. Our application uses images from a lowcost web camera placed in front of the hand. The hand must be localized in the image and segmented from the background before recognition. The pixels are selected from the hand. The selected pixels are transformed from the RGB-space to the HSL-space for taking the Chroma information: hue and saturation.

Figure 1: Configuration