R.T.Narmadha et al., International Journal of Computer Science and Mobile Computing, Vol.3 Issue.1, January- 2014, pg. 418-422 © 2014, IJCSMC All Rights Reserved 418 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IJCSMC, Vol. 3, Issue. 1, January 2014, pg.418 – 422 RESEARCH ARTICLE Real Time HCI using Eye Blink Detection R.T.Narmadha 1 , T.Mythili 2 , R.T.Nivetha 3 ¹Information Technology & Info Institute of Engineering, India ²Information Technology & Info Institute of Engineering, India ³Computer Science and Engineering & Sri Eshwar College of Engineering, India 1 narmadhahoney@gmail.com; 2 sathyamythili@gmail.com; 3 r.t.nivetha@gmail.com Abstract— This project aims to design an effective and efficient HCI both in terms of performance and cost. It also designs a Hands-free interface which helps to interact with the computer by using the facial features. To select a robust facial feature, we use the pattern recognition paradigm of treating features. We are using an off-the-shelf webcam that affords a moderate resolution and frame rate as the capturing device. It compensates people who have hand disabilities that prevent them from using the mouse by designing an application that uses facial features to interact with the computer. Keywords— HCI; Hands free interface; Pattern Recognition Paradigm; Facial feature; Off-the-shelf webcam I. INTRODUCTION The focus of new human-computer interfaces has become a growing field today, which aims to attain the development of more natural, intuitive, unobtrusive and efficient interfaces. The trend uses Perceptual User Interfaces (PUIs) that are turning out to be very popular as they seek to make the user interface more natural [1]. It also takes the advantage of the ways in which people naturally interact with each other and with the world. When sitting in front of a computer and with the use of webcams, very common devices nowadays, heads and faces can be assumed to be visible. Therefore, system’s based in head or face feature detection and tracking, and face gesture or expression recognition can become very effective human computer interfaces. Different approaches have been used for non invasive face/head-based interfaces [2]. For the control of the position some systems analyze facial cues such as color distributions, head geometry or motion [3]. Other works track facial features or gaze including infrared lighting. To recognize the user’s events it is possible to use facial gesture recognition [4]. In our project we consider facial gestures and the atomic facial feature motions. II. PROPOSED HANDS FREE INTERFACE SYSTEM We consider the problem of tracking faces using a video camera and focus our attention on the design of vision-based perceptual user interfaces. This is the system which uses a video camera to track user’s face position in 3D in order to convert it to a position of a cursor or another virtual object in 2D screen. The concept of the second order change detection, which allows one to discriminate the local (most recent) change in image, such as blink of the eyes, is introduced. This concept sets the base for designing complete face-operated control systems, in which, using the analogy with mouse, “pointing” is performed by nose and “clicking” is performed by blinking of the eyes. Edge-based features create a problem in tracking the objects which may rotate, since these features are not invariant to the rotation and the change of scale of the object. In order to select a robust facial feature, we use