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  • 學位論文

眼球運動分析與新型義眼

Eye Motion Interpretation and Novel Design of an Artificial Eye

指導教授 : 顏家鈺

摘要


眼球追蹤的研究的發展已經蠻成熟,也出現許多眼球追蹤的商品,除了持續應用在科學研究上,例如探討人類視覺對不同顏色形狀的反應或是在心理學中分析個人心理狀態、學習狀況等,其他應用的層面也有相當的發展,有做為電腦周邊的輸入裝置或記錄眼睛所注視的影像。然而,多數眼球追蹤裝置都有相同的缺點:繁複的校準過程以及準確度容易受頭部轉動影響,以因此至今仍未能夠廣泛應用。 在本論文中,作者設計並實現了一套瞳孔追蹤系統,能夠快速的追蹤並得到瞳孔的位置以及移動資訊;論文中設計了兩種人工義眼,分別由伺服馬達以及形狀記憶合金驅動,伺服馬達版可以精準定位,形狀記憶合金則是仿照眼球外部肌肉所設計的,擁有低工作電壓、電流且靜音的特性。另外在論文中開發出分析各種光學式瞳孔追蹤系統效能的系統,能夠在追蹤速度、追蹤誤差率上以客觀的方式比較各系統的差異。論文中所實現的瞳孔追蹤系統,經過效能分析系統比較後,其速度較前一代的瞳孔追蹤系統在運算速度上提升一倍以上,準確率也大幅提升。

並列摘要


Research in eyeball tracking technique has been developed for decades, and has been commercialized. Besides being continuously used in scientific experiments, such as discussing the reaction of human vision toward to different colors or shapes, or analysis one’s psychology state. Some of its applications include: alternative input devices in human-machine interface or recording of the vision of eyes. However, most of the eye-tracking devices have the same defects: complicated calibration procedures and the accuracy are easily affected by head motion. Therefore, it hasn’t been widely used up to now. In this thesis, author have designed and developed a pupil tracking system which can track with high speed and acquire the location and motion of pupil. This system has twice calculate speed then the previous generation, and much more accurate. Two kinds of artificial eye have been developed driven by servo motor and shape memory alloy. The one driven by servo motor can be control precisely, and the other one with shape memory alloy designed according to human extra-ouclar muscle can operate under low voltage and current quietly. In thesis, we construct a system for evaluating the pupil tracking system with optical system objective.

參考文獻


[1] C. Kent, “Measuring IOP with a Contact Lens, Review of Ophthalmology”, 2007
[2] Rafael C. Gonzalez Richard E. Woods, “Digital Image Processing, 3rd Edition”, Prentice Hall, 2008.
[3] International Telecommunication Union(ITU): http://www.itu.int/en/
[4] Matlab, Image Processing Toolbox, The MathWorks, Inc., 2008.
[5] P.V.C. Hough, “Machine Analysis of Bubble Chamber Pictures, Proc. Int. Conf. High Energy Accelerators and Instrumentation”, 1959

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