Study on Man-Machine Interface System for the Real-Time Measurement of Eyestrain
Study on Man-Machine Interface System for the Real-Time Measurement of Eyestrain
批准号:
11480083
负责人:
MAEDA Junji
金额:
$10.56万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B).
财政年份:
1999
资助国家:
日本
项目状态:
已结题
起止时间:
1999 至 2000
中文摘要
本研究旨在探讨利用自动眼球追踪技术来开发一种实时测量眼疲劳的人机界面系统,并尝试开发一种将眼球追踪系统与光学干涉仪连接起来的人机界面系统。眼睛跟踪系统会捕捉到受试者在使用计算机时的眼动,我们可以通过光学干涉仪实时观察受试者的眼睛疲劳作为干涉条纹。由于正常眼和干眼眼干涉条纹的不同,使得我们能够测量被研究对象的眼疲劳程度。虽然由于篇幅所限,我们没有实现在眼睛跟踪系统中安装光学干涉仪,但我们已经观察到了被试的干涉条纹,从而验证了光学干涉仪作为眼睛疲劳测量工具的有效性。通过实验,我们认识到了眼睛跟踪系统校准的重要性和被试移动头部的效果。必须进行校准,以控制来自眼球跟踪系统的信号的增益,以便将眼球运动的范围适应到监视器的区域。我们发现,整个系统受到受试者头部移动的强烈影响。
英文摘要
The purpose of this research is to investigate the development of a man-machine interface system for the real-time measurement of eyestrain by using an automatic eye-tracking technique.We have tried to develop a man-machine interface system that connects the eye-tracking system with the optical interferometer. The eye-tracking system will catch the eye movements of the subject while he is using a computer, and we can observe the eyestrain of the subject as the interference fringe in real time by the optical interferometer. The difference of the interference fringe between the normal eye and the dry eye enables us to measure the degree of the eyestrain of the subject under investigation.Though we have not achieved to install the optical interferometer in the eye-tracking system because of the space limitation, we have observed the interference fringe of the subject and thus have verified the effectiveness of the optical interferometer as the measurement tool of the eyestrain.We have recognized the importance of the calibration of the eye-tracking system and the effect of shifting the head of the subject through the experiments. The calibration has to be made that controls the gain of the signal from the eye-tracking system in order to fit the extent of the eye-movements into the area of the monitor. We have found that the whole system is strongly affected by the head-shift of the subject.
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S.Zhang and J.Maeda: "Cerebral Labeling by Fuzzy Reasoning for MRI Images"Proceedings of 6th Korea-Japan Joint Workshop on Computer Vision. 56-61 (2000)
S.Zhang 和 J.Maeda:“MRI 图像模糊推理的大脑标记”第六届韩日计算机视觉联合研讨会论文集。
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J.Maeda, S.Novianto, S.Saga and Y.Suzuki: "Segmentation of Natural Images Using Fuzzy Region-Growing Algorithm"Memoirs of the Muroran Institute of Technology. Vol.50. 47-53 (2000)
J.Maeda、S.Novianto、S.Saga 和 Y.Suzuki:《使用模糊区域生长算法分割自然图像》室兰工业大学回忆录。
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前田純治: "フーリエウエーブレット変換を用いた自然画像の局所的フラクタル次元の高精度な推定"電子情報通信学会論文誌. J82A. 750-754 (1999)
Junji Maeda:“使用傅里叶小波变换对自然图像的局部分形维数进行高度准确的估计”,电子、信息和通信工程师学会会刊 J82A (1999)。
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J.Maeda: "Rough and Accurate Segmentation of Natural Color Images Using Fuzzy Region-Growing Algorithm"Proc.of 15th Int.Conf.on Pattern Recognition. vol.III. 642-645 (2000)
J.Maeda:“使用模糊区域生长算法对自然彩色图像进行粗略和准确的分割”Proc.of 15th Int.Conf.on Pattern Recognition。
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Y.Suzuki: "An Associative Memory System with Fuzzy Numbers"Trans.of Int.Process.Society of Japan. 40. 374-377 (1999)
Y.Suzuki:“具有模糊数字的联想记忆系统”Trans.of Int.Process.Society of Japan。
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