臺灣博碩士論文加值系統

學習專注力的研究已經有許多專家學者提出研討，本論文主要是要探討學習專注力的腦波研究與分析，透過閱讀時量測到的腦波數據頻段數值大致上分五大類: ALPHA波、BETA波、GAMMA波、DELTA波和THETA波，根據這些腦波數值本論文做出初步的數據統計並且提出一個簡易的專注力數據分析演算法，用這個演算法來分析目前受測者的學習專注力程度，希望藉此提供參考數據，用來了解受測者的學習狀況也可以做出學習預警。本論文也提出未來相關應用的系統設計架構，提供未來開發應用參考藍圖，並參考許多先進的相關研究論文，做出比較用以驗證本論文提出方法的可用性。

Though lots of different research of learning focus and concentration has been proposed by many researchers, this thesis focuses on analysis and research of brainwaves of it. Via measurements of brainwaves of reading, the statistics of frequency spectrum can be classified into five categories: Alpha waves, Beta waves, Gamma waves, Delta waves, and Theta waves. Depending upon the measurements, this thesis tries to provide preliminary analysis of the statistics and propose a simple and novel algorithm to analyze the measurements of learning focus and concentration. The proposed algorithm can be used to analyze the level of learning focus and concentration of the experimental object. We hope that with the reference level value the learning status of the object can be easily revealed and “learning status early warning” can be provided. This thesis also proposes system design architecture for future related applications. In order to verify the usability of proposed system design architecture, comparisons of related studies are also provided in this thesis.

中文摘要 i
英文摘要 ii
誌謝 iii
目錄 iv
表目錄 vi
圖目錄 vii
符號說明 viii
一、緒論 1
1.1 前言 1
1.2腦波背景知識簡介 1
1.2.1大腦各部分之介紹 2
1.3論文架構 7
二、研究實驗平台簡介 7
2.1實驗平台與操作簡介 7
2.2研究對象 8
2.3系統流程 8
2.4系統描述 9
三、研究方法 14
3.1有效數據分析判定 14
3.2專注力演算法 19
四、未來可應用系統開發架構設計 25
4.1使用者與圖形化介面 27
4.2判斷分析子系統 30
4.3使用者與事件紀錄子系統 30
4.4子系統細部與介面之描述 34
4.5使用者與事件紀錄子系統 35
4.5.1子系統細部描述 35
4.5.1.1靜態模式(Static Model) 35
4.5.1.2動態模式(Dynamic Model) 38
4.5.1.3行為模式(Behavior Model) 40
4.5.2子系統內部與外部介面需求設計 42
五、結論與未來可能應用 43
參考文獻 44

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