照明設備已經成為人類生活不可或缺的一部份，但也造成電力的消耗，根據台灣經濟部能源局指出，2011 年全國照明用電量佔全國總電量的12%，因此，提升照明設備的用電效率是個值得研究的議題，另外，傳統的檯燈只能固定亮度，但是由於環境光源的影響和使用者對於燈光亮度的要求不同，檯燈只要提供一定的亮度即可符合使用者的需求，也因此，本論文將室內照明設備分成環境光源（日光燈、陽光）和區域光源（檯燈），並以Android 智慧型裝置為主，利用藍牙連接使用者頭戴的NeuroSky MindWave Mobile 腦波裝置取得使用者的腦波資訊，並且擷取其
專注值，再經由我們所設計的調光演算法來判斷使用者對於目前燈光亮度的反應，另外，藉由搭配亮度感測模組取得目前的總照度，進而計算出適合使用者的亮度，再透過藍牙傳送給遠端的LED 檯燈並使用PWM 技術（Pulse Width Modulation）將檯燈調整成適合的亮度。在本論文中，我們實作出系統原型，完成根據使用者專注度調光系統，並且達成使用者的照度需求，讓使用者的專注度維持在穩定狀態與提高使用者的專注度，另外也節省了電力的消耗，驗證了系統的可行性。

Lighting device has become one critical part in our life, but it also consumes much energy. Bureau of Energy indicates that the national lighting power consumption accounts for 12% of the total power consumption in 2011. Therefore, to improve power efficiency of lighting device is a topic worthy of being studied. Traditional lighting device can only provide fixed brightness. However, due to the impact of ambient light and different
lighting-level requirements for multiple users, lamps can provide certain brightness to meet the needs of users. In this paper, we divided lighting sources into two categories, namely ambient lighting and local lighting. We use Android-based smart phones to connect to NeuroSky MindWave Mobile brainwave device via Bluetooth, and retrieve
user's brainwave information as well as attention meter. In our proposed dimming algorithm, we observe user's reaction to the current brightness of lamp. In addition, we use a light sensor to get current brightness. Then, we calculate the appropriate brightness level, and transmit the brightness level to the microcontroller of LED lamp through Bluetooth. Next, the microcontroller can adopt PWM (Pulse Width Modulation) to adjust the brightness of lamp. Finally, the prototype of dimming system is implemented for demonstrating. Our system makes user's attention meter keep in a stable state and improve user's attention meter. Experiment result also shows that our system can reduce power consumption.

論文審定書 i
致謝 ii
摘要 iii
Abstract iv
目錄 v
圖次 vii
表次 ix
第一章 導論 1
1.1 前言 1
1.2 研究動機 2
1.3 研究貢獻與章節架構 3
第二章 背景知識探討 5
2.1 人類腦波介紹 5
2.2 MindWave Mobile 無線腦機介面 6
第三章 相關文獻探討 10
第四章 利用無線腦機介面之自動調光系統 13
4.1 系統架構 13
4.2 光源調控模組 14
4.3脈衝寬度調變 16
4.4 根據使用者專注值之調光演算法 17
第五章 實作系統雛型 21
5.1 MindWave Mobile 腦波資訊擷取 21
5.2 智慧檯燈之實作 21
5.3 Android 調光應用程式 24
第六章 實驗結果與分析 26
6.1 參數設定與實驗流程 26
6.2 實驗結果 28
第七章 結論與未來研究方向 33
參考文獻 34
附件一：測試一之數據 37
附件二：測試二之數據 39
附件三：測試三之數據 40

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