Design & Development of Real-Time HCI for Hand-free PC Operations using Image Processing

Computer Science and Engineering

Computers have become an important part of our daily life but some people like handicapped/paralyzed are not able to use the computers because of their disabilities. Face detection has been an important and active research field because it offers many applications, especially in video surveillance, biometrics, or video coding. Facial expressions are used to control the cursor movement in computer applications. The aim of this system is to use human body movement tracking in video input and utilize the tracking is an important kind of solution. In order to facilitate people with disabilities, use of the face recognition and extraction of user eyes location is done. The system uses Viola Jones algorithm which uses Haar-like features, that is, a scalar product between the image and some Haar-like templates. Various experiments were conducted to verify the results that were more accurate than the current solution to camera mouse. It also identifies the problems associated with past developments of the system. However the main purpose is to put forward a modified version of the system.

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