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Digital Image Watermarking Using Sine Transform Technique Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Detection of Gaze Direction for Human–Computer Interaction

Authors : G. Merlin Sheeba, Abitha Memala

Published in: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Publisher: Springer International Publishing

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Abstract

Eye guide is an assistive specialized apparatus intended for the incapacitated or physically disabled individuals who were not able to move parts of their body, especially people whose communications are limited only to eye movements. The prototype consists of a camera and a computer. The system recognizes gazes in four directions and performs required user actions in related directions. The detected eye direction can then be used to control the applications. The facial regions which form the images are extracted using the skin color model and connected-component analysis. When the eye regions are detected, the tracking is performed. The system models consist of image processing, face detector, face tracker, and eyeblink detection. The eye guide system potentially helps as a computer input control device for the disabled people with severe paralysis.

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Metadata
Title
Detection of Gaze Direction for Human–Computer Interaction
Authors
G. Merlin Sheeba
Abitha Memala
Copyright Year
2019
Book
Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Print ISBN: 978-3-030-00664-8

Electronic ISBN: 978-3-030-00665-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-00665-5_164