Design of eye movement interactive interface and example development

被引:0
|
作者
Institute of Electronic Circuit and Information System, Zhejiang University, Hangzhou 310007, Zhejiang Province, China [1 ]
不详 [2 ]
机构
[1] [1,Fang, Zhi-Gang
[2] Kong, Xiang-Zong
[3] Xu, Jie
来源
Kong, X.-Z. | 1981年 / Asian Network for Scientific Information卷 / 12期
关键词
Eye control - Eye HUD - HCI (human-computer interaction) - Interactive functions - Interactive interfaces - Man machine interface - Natural interactive - State transition models;
D O I
10.3923/itj.2013.1981.1987
中图分类号
学科分类号
摘要
With the unceasing development of HCI (Human Computer Interaction) technology, natural interactive products are valued by more and more people. The next generation of man-machine interface may use touch, hearing or vision, etc. Among them, the visual sense is the most important channel to get information, but researches are mostly focused on the measurement of eye movement or data processing. In the future, the interaction of eyes with machines will have a very wide prospect. After concluding the pluses and minuses of available eye control systems, we puts forth the design principle, system concept and the state transition model of eyes interaction from the consideration of user-centered design principle. The system simplifies the measurement process, focuses on the fast tracking, calibration and accurate eye movement identification. At the same time, we use context information to reduce interaction time and combines with keys to eliminate eye movements' ambiguity. Based on the design scheme, we develop a systern-EyeHUD(Eye Head Up Diaplay) which can be applied in driving. It includes an eye preset interface, an eye control interface and a virtual vehicle scene. Before starting cars, a driver uses the eye tracker to track and calibrate eyes, then chooses an interactive function, like one blink zoom in or two blink chick. When the eye control interface is opened, the driver can use auto eye control to operate it, or choose eyes+keys way to simulate a click. The evaluation results shows: EyeHUD can successfully achieve all the default function and participants don't need long time to understand the information provided by the interface. Compared with the eyes+keys way, the auto eye control has no obvious difference in recognition success rate. © 2031 Asian Network for Scientific Information.
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