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  • 學位論文

腦波控制Arduino機器人之研究與應用

Study and Application of Mind-Controlled Arduino Robots

指導教授 : 蔣東建
共同指導教授 : 鄭智元
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摘要


人類使用大腦電波做為控制工具在未來是個趨勢,而人的大腦是體內所有器官中唯一會思考的重要中樞,也是掌控身體各個器官動作的重要命令來源,而腦波(Electroencephalogram, EEG)是由大腦內部神經網路運作過程中所釋放出來的電位訊號,本研究主要使用Neurosky所製造的MindWaveMobile以非侵入的方式偵測腦波專注度與放鬆度,並使用以Open Sourse(開源)Arduino UNO微控制器電路板為基底,而MindWaveMobile與Arduino UNO板使用藍芽HC-05無線傳輸方式做為彼此的溝通橋樑,而該應用電路會依照使用者腦波變化使LED指示燈跟著變化讓使用者可以知道目前腦波專注度與放鬆度的狀態,進而訓練如何控制腦波的專注度,同時也能透過腦波將生活周邊的電器進行簡易控制或是驅動自走車,最後在本論文中亦提出在不同環境溫度下對腦波專注度的影響。

關鍵字

腦波 專注度 放鬆度 藍芽 微控制器

並列摘要


In the future, it will become an advanced application that human can control electrical device by using brainwaves. The human brain, an important central nervous system, is the only one, which can think, of all organs. Also, it is the main source of all orders to command every organs and parts of body. In this research, we utilize the MindWaveMobile device, designed by Neurosky company, to detect and apply the Electroencephalogram (EEG) signal which is released from brain. It works by using non-invasive method and can detect the attention and relax level of the users. The micro-controller, Arduino UNO, is the control center, communicating MindWaveMobile with bluetooth wireless device HC-05. The LEDs indicator allows users to know the current status of brain attention. Furthermore, the user can be trained to use and control the brainwaves, so that it is able to simply control the electrical device on/off and drive the arduino-based car moving/stopping. In this research, we also observe the influences of the ambient temperature for the user attention and relax.

參考文獻


[1]丁于淵,從腦波識別進行情緒感知之研究,佛光大學資訊應用學系碩士在職專班網路與多媒體組。
[2]李宗信,雲端運算輔助之居家保健與復健系統,樹德科技大學資訊工程系碩
士班,碩士論文,2013
[3]神念科技–系統解決方案
http://www.neurosky.com.tw/products-markets/ecg-biosensors/hardware/

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