一般正常人可以利用雙手操控電腦，瀏覽世界各地的資訊；可以利用嘴巴，與社會上各種不同人做溝通。但是，目前社會上仍有一群的弱勢的團體，像是漸凍症(Amyotrophic Lateral Sclerosis, A.L.S)或者運動神經元疾病(Motor Neuron Disease, M.N.D)之類的患者，無法靠著雙手輕易的操控電腦，也無法利用嘴巴與人溝通，因此發展了一套眼寫電腦控制及仿口語系統，方便此類病患能自主的使用電腦來取得資訊以及取代嘴巴說話的功能。 本論文採用眼電圖( Electro-Oculography, EOG )作為擷取眼動訊號的方法，將取得的訊號送入Microchip dsPIC30F6014作處理及分析，辨識出眼寫符號後，再將眼寫符號轉為電腦的通訊碼以及BIG-5碼，取代鍵盤、滑鼠和說話的功能。經過統計之後注音符號模式的正確率平均(五位受測者平均)為82 %，而英文字母符號的正確率平均為79.69 %。 本系統使用上的方法為眼寫特定的符號取代滑鼠、鍵盤上的按鍵以及說話。目前眼寫符號軌跡的順序和一般書寫的筆畫大同小異，方便使用者記憶，不需花費太多的腦力去記憶這些眼寫符號。 Normal people can use hands to control computer and browse informations all around the world, also we can use our mouth to communicate with other people in our society. However there are still existed many weak groups around us, just like patients with “Amyotrophic Lateral Sclerosis, A.L.S.” or “Motor Neuron Disease, M.N.D.”, they can’t use their hands to control the computer, nor the mouth to communicate with other people. Therefore, the development of an eye-writing system for computer control and emulation of oral speaking facilitates this kind of patients to use the computer independently for information acquirement and substitution of mouth speaking. This thesis adopts the “Electro-Oculography, EOG” to get the signs of the movement of the eyes, then send it to “Microchip dsPIC30F6014” for further arrangement and analysis. After distinguish the signs of eyes writing, we transform it into the communicated code and code of BIG-5 to substitute for the keyboard, mouse and the function of speaking. After the statistics, the average of the accuracy of the mode of notional phonetic Chinese alphabet is 82 percent compare with the English alphabet is 79.69 percent. The methodology of this system is to use the eye-writing to substitute the mouse, keyboard and speaking. Right now, there is no evident difference between the eyes writing and hand’s writing so the user can manipulate this system easily without lots efforts on memorizing.
