眼球注视追踪操作基于android的通讯助手应用

2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC) Pub Date : 2017-09-01 DOI:10.1109/KCIC.2017.8228569

Retno Yuli Cristanti, R. Sigit, T. Harsono, Dyah Ceni Adelina, Anisah Nabilah, Novita Putri Anggraeni

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引用次数: 8

摘要

对于有语言和运动障碍的人来说，做一些基本的日常活动需要别人的帮助。误解通常发生在周围的人由于受到限制而无法理解自己的欲望时。本文将构建一个眼球追踪系统来操作该通信系统。在本系统中使用的过程是，首先通过android设备上的摄像头捕捉用户的脸部和左眼区域，然后通过Haar Cascade进行特征检测。其次，利用矩量从左眼区域寻找眼中心位置，作为用户指针在界面菜单中的参考。用户闭眼选择活动菜单的时间超过250ms。这个系统的输出是一个代表活动菜单的音频。该系统的左凝视跟踪成功率为80%，直凝视跟踪成功率为90%，右凝视跟踪成功率为80%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Eye gaze tracking to operate android-based communication helper application

For people with spoken and motoric disabilities, doing some basic daily activities will need some help from another people. Misunderstanding usually happen when people around them can not interpret their desire because of limit In this paper, an eye gaze tracking system will be built to operate the communication system. The processes which are used in this system, first the face and left eye area of user will be captured by camera on android device and the features will be detected by Haar Cascade. Second, from left eye's region, it will be looked for eye center position as user pointer's reference in interface menus using moments. User can choose the activity menu by closing their eye in time more than 250ms. The output of this system is an audio that represent activity menu. The system has percentage success rate of left gaze tracking is 80 %, straight gaze tracking is 90 %, and right gaze tracking is 80 %.

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来源期刊

2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)

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