Higher School of Economics , Moscow, 2016 <Topic> Prepared by: <Master's student name> System and Software Engineering Supervised by: <Supervisor name> Faculty of Computer Science/School of Software Engineering November 25th, 2016 Higher School of Economics , Moscow, 2016 www.hse.ru 1

Contents 2 Higher School of Economics , Moscow, 2016 2

Problem Statement Basically we use colored tips for detection which are captured by webcam. Here, the colored fingertip acts as an object which the web cam senses. The camera is positioned such that it recognizes the moment of finger tips and performs the operations of mouse. The utilization of virtual mouse appears in space saving situations or in movement situation. In periods of prolonged use, users' arms began to feel fatigue and/or discomfort. This effect contributed to the decline of touch-screen input. 4 Higher School of Economics , Moscow, 2016 4

Goal and Objectives For image-based gesture recognition there are limitations on the equipment used and image noise. Images or video may not be under consistent lighting, or in the same location. Items in the background or distinct features of the users may make recognition more difficult. The variety of implementations for image-based gesture recognition may also cause issue for viability of the technology to general usage. For example, an algorithm calibrated for one camera may not work for a different camera. Furthermore, the distance from the camera, and the camera's resolution and quality, also cause variations in recognition accuracy. 6 Higher School of Economics , Moscow, 2016 6

Expected Results 7 Higher School of Economics , Moscow, 2016 7

Questions please!