傳統燈光調控需要經過專業訓練的燈光人員來進行操作，多數控台工作人員在演出前花大量的時間將燈光與音樂搭配的序列先製成MIDI檔，同樣的演出時間卻需要兩到三倍的時間來進行前置，可以說是相當的費工費時，因此，一種電腦輔助自動化舞台燈光調控模式確實是眾望所歸的。
有鑑於音樂情感辨識的研究的成熟，以及類神經網路監督式學習機的廣泛發展和應用的基礎，漸漸對於音樂情感(氛圍)也能進行量化的描述及電腦模擬，為達成音樂情感辨識，以音樂特徵對映到賽耶情感平面(Thayer model)上，產生出線性量化的音樂情感描述值，本文收集來自於Musicovery網站點播率最高之2087首之歌曲20秒音樂片段擷取21種音樂特徵，利用主成分分析法(Principle component analysis；PCA)進行降維後，以支持向量機(Support vector machine；SVM)分類器進行特徵的交叉訓練以得到最準確之音樂特徵組合，利用支持向量回歸(Support vector regression；SVR)進行回歸訓練。另一方面，進行音樂情感燈光調控實驗並研究音樂情感與燈光調控色彩調控趨向，同樣利用支持向量回歸模擬以上結果，亦考慮音樂段落間情感氛圍和強度感受上的差異，依據音樂力度發展一套音樂段落辨識方法論，做為情感辨識和燈光亮度的指標，其後進一步地加入音樂風格和燈光色彩因素，建立一套符合音樂風格和情感，依據音樂段落進行舞台燈光調控的自動化系統。為驗證本文發展的自動化燈光調控模式，本研究邀請十名受測者進行驗證問卷，結果顯示本研究開發之燈光音樂自動化搭配，確實可以依據音樂風格和段落情感給予合適的燈光調控引發觀賞時更多的娛樂性。

Traditionally, the stage-lighting regulation requires professionally trained technicians to operate. However, the contemporary requirements of higher-quality performance, making this work needs more preparation before the performance. Technicians or club DJ spends two to three more times before the show to make the lighting control sequence MIDI file to match the music. It is really waste of time. Thus, A methodology for automatic stage-lighting regulation would be helped.
Music emotion recognition (MER) got much development these years, so as neural network algorithms. Music feeling has been able to be recognized and even been quantifiable by a supervised machine learning approach. In this paper, A variety of music signal features from 2087 song clips were captured and been selected the main features which are related to music emotion reflected to Thayer's emotion plane in order to produce a linear quantitative value describing music emotion. After that, the music emotion and color preferences of stage-lighting were studied. Using the experimental results trained a support vector regression (SVR) to construct simulations. To be more realistic, we developed an automatic music segment detected methodology based on music signal intensity to present different music strength and feeling of each segment. Furthermore, The factor of music genre has been studied, comprehensively develops an automatic stage-lighting based on feeling, genre and intensity of each segment of music.

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