Study on Man-Machine Interface System for the Real-Time Measurement of Eyestrain

眼疲劳实时测量人机界面系统的研究

• 批准号: 11480083
• 负责人: MAEDA Junji
• 金额: $ 10.56万
• 依托单位: Muroran Institute of Technology
• 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
• 起止时间: 1999 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-11480083/
• 关键词: man-machine interface; eyestrain; eye-tracking system

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.

本研究的目的是研究开发一种利用自动眼动追踪技术实时测量眼疲劳的人机界面系统。光学干涉仪跟踪系统。眼动追踪系统会捕捉被测者在使用电脑时的眼球运动，通过光学干涉仪可以实时观察到被测者的眼睛疲劳情况，作为干涉条纹。正常眼和干眼之间干涉条纹的差异使我们能够测量被测对象的眼睛疲劳程度。尽管由于空间限制我们还没有实现在眼动追踪系统中安装光学干涉仪，我们观察了被摄体的干涉条纹，从而验证了光学干涉仪作为眼疲劳测量工具的有效性。我们认识到眼动追踪系统校准的重要性以及头部移动的影响主题通过实验。必须进行校准来控制来自眼睛跟踪系统的信号增益，以便使眼睛运动的范围适合显示器的区域。我们发现整个系统受到主体头部移动的强烈影响。

项目成果

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)。

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。

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。

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。

J.Maeda: "Rough and Accurate Segmentation of Natural Images Using Fuzzy Region-Growing Algorithm"Proc.of IEEE Inf.Conf.on Image Processing. Vol.III. 227-231 (1999)

J.Maeda：“使用模糊区域生长算法对自然图像进行粗略和准确的分割”Proc.of IEEE Inf.Conf.on 图像处理。