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Detection of Gaze Direction for Human–Computer Interaction

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

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 30))

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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Acknowledgements

Ethical Compliance Comments

Figure 4 is a facial image taken from UCI repository dataset as an example to indicate the focal and seat points in the face.

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Authors and Affiliations

  1. Sathyabama Institute of Science and Technology, Chennai, TamilNadu, India

    G. Merlin Sheeba & Abitha Memala

Authors
  1. G. Merlin Sheeba
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  2. Abitha Memala
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Corresponding author

Correspondence to G. Merlin Sheeba .

Editor information

Editors and Affiliations

  1. SCAD Institute of Technology, Palladam, India

    Durai Pandian

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. School of Computer and Security Science, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

  4. Wenzhou Medical University, Wenzhou, China

    Fuqian Shi

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Sheeba, G.M., Memala, A. (2019). Detection of Gaze Direction for Human–Computer Interaction. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_164

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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00664-8

  • Online ISBN: 978-3-030-00665-5

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