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基于眼动追踪的自然人机交互控制系统。

Eye Tracking Based Control System for Natural Human-Computer Interaction.

机构信息

College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.

Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan.

出版信息

Comput Intell Neurosci. 2017;2017:5739301. doi: 10.1155/2017/5739301. Epub 2017 Dec 18.

Abstract

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.

摘要

眼动可以被视为人机通信的关键实时输入媒介,对于身体残疾的人尤为重要。为了提高眼动跟踪技术在用户-计算机对话中的可靠性、移动性和可用性,本文提出了一种将鼠标和键盘功能集成在一起的新型眼控系统。该系统专注于通过仅使用用户的眼睛提供一种简单方便的交互模式。该系统的使用流程旨在完美遵循人类的自然习惯。此外,还提出了一个放大镜模块以允许进行精确操作。在实验中,通过完成两个具有不同难度(搜索文章和浏览多媒体网页)的交互任务,将所提出的眼控工具与现有系统进行了比较。使用技术接受模型(TAM)度量来评估我们系统的感知有效性。结果表明,所提出的系统在可用性和界面设计方面非常有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cce5/5748315/35a78672a142/CIN2017-5739301.001.jpg

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