Eye Tracking Based Control System for Natural Human-Computer Interaction
Eye movement can be regarded as a pivotal real-time input medium for human-computer communication, which is especially important for people with physical disability. In order to improve the reliability, mobility, and usability of eye tracking technique in user-computer dialogue, a novel eye control...
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| Published in: | Computational Intelligence and Neuroscience Vol. 2017; no. 2017; pp. 1 - 9 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Cairo, Egypt
Hindawi Limiteds
01.01.2017
Hindawi Publishing Corporation Hindawi John Wiley & Sons, Inc |
| Subjects: | |
| ISSN: | 1687-5265, 1687-5273, 1687-5273 |
| Online Access: | Get full text |
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| Summary: | Eye movement can be regarded as a pivotal real-time input medium for human-computer communication, which is especially important for people with physical disability. In order to improve the reliability, mobility, and usability of eye tracking technique in user-computer dialogue, a novel eye control system with integrating both mouse and keyboard functions is proposed in this paper. The proposed system focuses on providing a simple and convenient interactive mode by only using user’s eye. The usage flow of the proposed system is designed to perfectly follow human natural habits. Additionally, a magnifier module is proposed to allow the accurate operation. In the experiment, two interactive tasks with different difficulty (searching article and browsing multimedia web) were done to compare the proposed eye control tool with an existing system. The Technology Acceptance Model (TAM) measures are used to evaluate the perceived effectiveness of our system. It is demonstrated that the proposed system is very effective with regard to usability and interface design. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Academic Editor: Irfan Mehmood |
| ISSN: | 1687-5265 1687-5273 1687-5273 |
| DOI: | 10.1155/2017/5739301 |