Open AccessGUI Control with Head Gesture
Author(s) -
Reajul Haque Reayz*,
Prashanta Kumar Dey,
Md Kamal Hossain Chowdhury,
Mahmudul Hasan
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c4316.098319
Subject(s) - face detection , computer science , face (sociological concept) , task (project management) , computer vision , gesture , artificial intelligence , movement (music) , feature (linguistics) , head (geology) , feature extraction , human–computer interaction , facial recognition system , engineering , social science , philosophy , linguistics , systems engineering , geomorphology , sociology , geology , aesthetics
Face detection based mouse movement is one of the important works for the physically challenged people. The movement of head can notify the computer specific task. By understanding, the disabled people computer can pass message to other person and that can help disabled to notify others the urgent need of them. In this project, an application has been built which will help the people who do not have any control of their hands but they can only move their head. In this work, OpenCV based Haar-like feature extraction has been used to detect face. By using face detection algorithm, faces as well as non-faces are classified as faces. So, to reduce the false positive results, face detection algorithm has been enhanced. After face detection, mouse movement has been controlled with the coordinate of face movement.