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研究生:蔡明凱
研究生(外文):ming-kai Cai
論文名稱:一個應用於文數字自動辨識之腦機介面系統
論文名稱(外文):A Brain-Computer Interface(BCI) System with the Applications to Automatic Letter/Number Recognition
指導教授:陳思文陳思文引用關係
指導教授(外文):szi-wen Chen
學位類別:碩士
校院名稱:長庚大學
系所名稱:電子工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:中文
論文頁數:61
中文關鍵詞:腦波腦機介面數位訊號處理器
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近年來,大腦人機介面(BCI)的發展獲得了長足的進步,其目的為讓使用者與電腦之間的溝通突破傳統的限制,也更加人性化。簡言之,腦機介面之定義為使用者可單純地透過意識直接操控電腦,而電腦僅需依靠腦波中呈現出來的特徵來判讀使用者的意圖,進而達到操作電腦的目的。這個概念可以做為在電腦或其他電子產品使用上有別於傳統方式的另一種選擇。本研究之目的在於實現一個以數位訊號處理器為基礎的文數字自動辨識之腦機介面系統,此系統以腦波P300特徵之偵測做為辨識字母的依據,配合數位訊號處理器(DSP)所擁有之快速運算能力,達成即時分析、即時判斷之架構的一腦機介面系統之目的。經過實際驗證,本系統可以達成正確分辨字元率90%。
In recent years, the brain-computer interface (BCI) has become a growing field in rehabilitation engineering. A number of researchers devote themselves to investigations into this area. BCI, by definition, is a communication system that does not depend on the brain’s normal output pathways of peripheral nerves and muscles. It provides a novel and radical way for people to achieve the direct control of computers simply using their brain waves. In this thesis study, a BCI system with the applications to automatic letter/number recognition is developed. The task of recognition is performed based on the use of event-related potentials (ERP), the so-called P300 waves, and is implemented on a commercial Digit Signal Processor (DSP) to achieve the real-time realization of the pattern recognition algorithm. Tests conducted using an existing database provided by the BCI competition 2003 produced the recognition accuracy of 90%.
第一章 緒論……………………………………………………………..1
1-1腦機介面(brain-computer interface, BCI)簡介…………………...1
1-2 研究目的與動機………………………………………………….5
1-3 論文架構……………………………………………………….…8
第二章 研究背景與基本原理…………………………………………..9
2-1 腦波訊號的形成與特性……………………………………….…9
2-2 P300的特性………………………………………………….…..14
2-2-1實驗時所用之文字版大小對結果的影響……………….....14
2-2-2受測者的精神狀態對於實驗結果的影響………………….16
2-2-3實驗速率對腦波形成的影響…………………………….…18
2-3 其他關於P300之演算法……………………………………….19
2-3-1以ICA為基礎之演算法…………………………………....19
2-3-2以CWT為基礎之演算法…………………………………..21
2-3-3以SVM為基礎之演算法…………………………………..24
2-4 實驗數據及背景…………………………………………….…..27
第三章 系統硬體架構及演算法……………………………………....31
3-1 系統架構……………………………………………………..….31
3-2 內嵌式數位訊號處理系統……………………………………...32
3-2-1 TMS320C32PCM50處理器………………………………...34
3-2-2記憶體配置………………………………………………….35
3-2-3 輸出輸入I/O……………………………………………..…36
3-2-4 系統中斷…………………………………………………...38
3-3 演算法…………………………………………………………...40
3-4 DSP韌體程式…………………………………………………....45
3-5 PC介面…………………………………………………………..46
第四章 實驗結果與討論……………………………………………....48
4-1 軟體模擬………………………………………………………...48
4-2 硬體測試結果………………………………………………...…50
4-3 討論……………………………………………………………...51
第五章 結論與未來工作……………………………………………....55
參考文獻………………………………………………………………..58
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