• 沒有找到結果。

七、 結論與未來展望

7.2 未來展望

本論文主要探討音樂對於聽者情緒的影響,並以生理訊號分析的方式具體呈 現聽者的情緒變化。未來若繼續深入研究,配合音樂情緒辨識系統,將情緒成分 相似的音樂歸為同一類,並採集多位測試者聽音樂的生理訊號的樣本,觀察出什 麼類型的音樂,會使聽者呈現什麼樣的情緒;或音樂於各種調性、節奏、合聲、

曲式等諸如此類的特徵中,當聽者們接收到同樣的音樂特徵表現刺激時,是否會 產生某種共同的情緒成份,音樂與生理的相關研究,也許可以幫助音樂家作曲時,

更能以此利用樂曲完整表達想讓聽者感受到的情緒,甚至應用於醫學界,以音樂 情緒對應出的生理情緒依據,讓治療師挑選出適合治療心理疾病患者的音樂,使 其治療過程更為順利正確。

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5. Fadzilah Siraj, Nooraini Yusoff , Lam Choong Kee, ”Emotion Classification Using Neural Network.” International Conference on Computing & Informatics, 2006.

6. R J. Davidson, K R. Sherer and H H. Goldsmith, “HANDBOOK OF AFFECTIVE SCIENCES”, P.280, OXFORD, 2003.

7. R J. Davidson, K R. Sherer, H H.Goldsmith, “HANDBOOK OF AFFECTIVE SCIENCES.” P.281, OXFORD, 2003.

8. Rumi Hiraga, Nobuko Kato , Noriyuki Matsuda, “Effect of Visual Representation in Recognizing Emotion Expressed in a Musical Performance.” International Conference on Systems, Man and Cybernetics, 2008.

9. George A. Tsihrintzis, Maria Virvou, Efthymios Alepis, and Ioanna-Ourania Stathopoulou, ” Towards Improving Visual-Facial Emotion Recognition through Use of Complementary Keyboard-Stroke Pattern Information1.”Fifth International Conference on Information Technology: New Generations, 2008.

10. Wanqing Wu, Jungtae Lee, “Improvement of HRV Methodology for Positive/Negative Emotion Assessment.” Department of Computer Science and Engineering, Pusan National University Busan, South Korea, 2009.

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11. Dean Sabatinelli. Peter J. Lang, Andreas Keil, Margaret M. Bradley. ” Emotional Perception: Correlation of Functional MRI and Event-Related Potentials.”Advance Access publication, 2006.

12. Hsuan-Kai Wang, “Department of Electrical Engineering College of Electrical Engineering and Computer Science.”National Taiwan University Master Thesis, 2009.

13. Germann, W. J. & Stanfield, C. L.”Principle of Human Physiology (2nd).”

Publishing as Benjamin Cummings, 2005.

14. Bo Cheng, Guangyuan Liu, “Emotion Recognition from Surface EMG Signal Using Wavelet Transform and Neural Network.”The 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008.

15. R J. Davidson, K R. Sherer and H H. Goldsmith, “HANDBOOK OF AFFECTIVE SCIENCES.”P.138, OXFORD, 2003.

16. 臺安醫院張育彰醫師,”什麼是「交感神經」與「副交感神經」?”,KingNet 國家網路醫院,民國 97 年

17. R J. Davidson, K R. Sherer and H H. Goldsmith, "HANDBOOK OF AFFECTIVE SCIENCES", P.138-140, OXFORD, 2003.

18. 張英輝,”手持式即時心率變異分析儀”,朝陽科技大學,資訊工程系,碩士 論文,民國 101 年

19. Jonghwa Kim, Member, Elisabeth Andre, ” Emotion Recognition Based on Physiological Changes in Music Listening.” TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE ON IEEE, VOL. 30, NO. 12, 2008.

20. R J. Davidson, K R. Sherer and H H. Goldsmith, "HANDBOOK OF AFFECTIVE SCIENCES."P.191, OXFORD, 2003.

21. P. T. BASON, B. G. CELLER, ”Control of the Heart Rate by External Stimuli.”

Nature , vol.238, pp. 279-280 , August 1972.

22. R J. Davidson, K R. Sherer and H H. Goldsmith, “HANDBOOK OF AFFECTIVE

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SCIENCES.”P.284-285, OXFORD, 2003.

23. U. Rajendra Acharya, K. Paul Joseph, N. Kannathal, Choo Min Lim , Jasjit S. Suri,

“Heart rate variability: a review.” International Federation for Medical and Biological Engineering, 2006.

24. 林士翔,”音樂節奏特性與心率變異性之關聯性研究及其硬體實現”,國立交 Pupils.”National Yang-Ming University Institute of Community Health Nursing Master Thesis, 2007.

27. American Heart Association, ”Heart Rate Variability Standards of Measurement, Physiological Interpretation, and Clinical Use.”, 1996.

28. Eugene Braunwald , Anthony S. Fauci, Dennis L. Kasper, Stephen L. Hauser, Dan L. Longo, J. Larry Jameson ”Harrison's Principles of Internal Medicine, 15th Edition”, August 2001.

29. 張皓,”心電圖訊號波形的頻譜分析”,國立中山大學機械與機電工程學系碩 士論文,民國 102 年

30. 林竹萱,”Advanced Digital Signal Processing Tutorial Eletromyography Signal Analysis”,台灣大學生物醫學工程研究所

31. Kazumi Masuda, Tadashi Masuda, Tsugutake Sadoyama, Mitsuharu Inaki, Shigeru Katsuta, "Changes in surface EMG parameters during static and dynamic fatiguing contractions", Volume 9, Issue 1, January 1999.

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33. Yang Guangying, Yang Shanxiao, “Emotion Recognition of Electromyography based on Support Vector Machine.”Third International Symposium on Intelligent Information Technology and Security Informatics (IITSI), 2010

34. Bo Cheng, Guangyuan Liu, "Emotion Recognition from Surface EMG Signal Using Wavelet Transform and Neural Network",The 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008.

35. Jonghwa Kim, ”Bimodal Emotion Recognition using Speech and Physiological Changes”, Institute of Computer Science, University of Augsburg Germany , 2007.

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38. Benson. Roy, Connolly. Declan, “Heart Rate Training”, 2011.

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附錄一、 測試者 HRV 頻域分析結果與音樂情緒辨識結果 指定曲:少女時代-HAHAHA

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指定曲:Enya-Only Time

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指定曲:木匠兄妹-It's Going to Take Some Time

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指定曲:Breed 77–Zombie

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指定曲:Chopin-Nocturne #2 In E Flat, Op 9

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附錄二、測試者 EMG 之 FFT 與 STFT 頻域分析結果 指定曲:少女時代-HAHAHA

(由左到右為每個測試者未聽音樂、聽指定曲、聽自選曲之 EMG 頻域分析結果)

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指定曲:Enya-Only Time

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指定曲:木匠兄妹-It’s Going to Take Some Time

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指定曲:Breed 77–Zombie

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指定曲:Chopin-Nocturne #2 In E Flat, Op 9

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Enya-Only Time

0.2 0

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木匠兄妹-It's going to take sometime

0.2 0

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Breed 77–Zombie

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Chopin-Nocturne #2 In E Flat, Op 9

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