Eye Tracking Based Control System for Natural Human-Computer Interaction
Joint Authors
Yuan, Shyan-Ming
Liu, Xiaolong
Zhang, Xuebai
Lin, Shu-Fan
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhang, Xuebai& Liu, Xiaolong& Yuan, Shyan-Ming& Lin, Shu-Fan. 2017. Eye Tracking Based Control System for Natural Human-Computer Interaction. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1141018
Modern Language Association (MLA)
Zhang, Xuebai…[et al.]. Eye Tracking Based Control System for Natural Human-Computer Interaction. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1141018
American Medical Association (AMA)
Zhang, Xuebai& Liu, Xiaolong& Yuan, Shyan-Ming& Lin, Shu-Fan. Eye Tracking Based Control System for Natural Human-Computer Interaction. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1141018
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141018