開發一以心跳變異率與機器學習為基礎之個人化智慧型音樂選曲系統

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研究生：	柯力瑋 Ko, Li Wei
論文名稱：	開發一以心跳變異率與機器學習為基礎之個人化智慧型音樂選曲系統 Developing a Personalized Intelligent Music Selection System Based on Heart Rate Variability and Machine Learning
指導教授：	邱銘傳 Chiu, Ming chuan
口試委員:	張堅琦盧俊銘
學位類別：	碩士 Master
系所名稱：	工學院 - 工業工程與工程管理學系 Department of Industrial Engineering and Engineering Management
論文出版年：	2015
畢業學年度：	103
語文別：	英文
論文頁數：	80
中文關鍵詞：	決策樹分析、穿戴式裝置、機器學習、心跳變異率
外文關鍵詞：	Decision Tree, Wearable device, Machine learning, Heart rate variability
相關次數：	點閱：107 下載：0
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音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，音樂在人類的歷史中扮演著舉足輕重角色。可影響情緒與績效，因此被廣泛地應用在提升績效上，如運動或醫療。例慢跑者聆聽適當的音樂因此被廣泛地應用在提升績效上，如運動或醫療。例慢跑者聆聽適當的音樂因此被廣泛地應用在提升績效上，如運動或醫療。例慢跑者聆聽適當的音樂因此被廣泛地應用在提升績效上，如運動或醫療。例慢跑者聆聽適當的音樂因此被廣泛地應用在提升績效上，如運動或醫療。例慢跑者聆聽適當的音樂因此被廣泛地應用在提升績效上，如運動或醫療。例慢跑者聆聽適當的音樂因此被廣泛地應用在提升績效上，如運動或醫療。例慢跑者聆聽適當的音樂因此被廣泛地應用在提升績效上，如運動或醫療。例慢跑者聆聽適當的音樂因此被廣泛地應用在提升績效上，如運動或醫療。例慢跑者聆聽適當的音樂可以跑得更久。然而，大多時候人們僅會根據個喜好選擇歌曲聆聽如此一可以跑得更久。然而，大多時候人們僅會根據個喜好選擇歌曲聆聽如此一可以跑得更久。然而，大多時候人們僅會根據個喜好選擇歌曲聆聽如此一可以跑得更久。然而，大多時候人們僅會根據個喜好選擇歌曲聆聽如此一可以跑得更久。然而，大多時候人們僅會根據個喜好選擇歌曲聆聽如此一可以跑得更久。然而，大多時候人們僅會根據個喜好選擇歌曲聆聽如此一可以跑得更久。然而，大多時候人們僅會根據個喜好選擇歌曲聆聽如此一可以跑得更久。然而，大多時候人們僅會根據個喜好選擇歌曲聆聽如此一可以跑得更久。然而，大多時候人們僅會根據個喜好選擇歌曲聆聽如此一來，便降低了音樂所能達成的預期效來，便降低了音樂所能達成的預期效來，便降低了音樂所能達成的預期效果。此外，手動挑歌亦是件相當耗時的行為果。此外，手動挑歌亦是件相當耗時的行為果。此外，手動挑歌亦是件相當耗時的行為果。此外，手動挑歌亦是件相當耗時的行為果。此外，手動挑歌亦是件相當耗時的行為果。此外，手動挑歌亦是件相當耗時的行為因此，從如眾多的音樂中找出符合自己當下情緒時也更加困難。本研因此，從如眾多的音樂中找出符合自己當下情緒時也更加困難。本研因此，從如眾多的音樂中找出符合自己當下情緒時也更加困難。本研因此，從如眾多的音樂中找出符合自己當下情緒時也更加困難。本研因此，從如眾多的音樂中找出符合自己當下情緒時也更加困難。本研因此，從如眾多的音樂中找出符合自己當下情緒時也更加困難。本研因此，從如眾多的音樂中找出符合自己當下情緒時也更加困難。本研因此，從如眾多的音樂中找出符合自己當下情緒時也更加困難。本研因此，從如眾多的音樂中找出符合自己當下情緒時也更加困難。本研究欲建立一智慧型選曲系統，本研方法以音樂資訊索引為基礎其可用來搜尋究欲建立一智慧型選曲系統，本研方法以音樂資訊索引為基礎其可用來搜尋究欲建立一智慧型選曲系統，本研方法以音樂資訊索引為基礎其可用來搜尋究欲建立一智慧型選曲系統，本研方法以音樂資訊索引為基礎其可用來搜尋究欲建立一智慧型選曲系統，本研方法以音樂資訊索引為基礎其可用來搜尋與檢索特定類型的音樂。最後，將其以 APP 的方式呈現。此系統不僅能透過觀測受者之心跳變異率，選擇適合使用聆聽音樂亦能情緒維持測受者之心跳變異率，選擇適合使用聆聽音樂亦能情緒維持測受者之心跳變異率，選擇適合使用聆聽音樂亦能情緒維持測受者之心跳變異率，選擇適合使用聆聽音樂亦能情緒維持測受者之心跳變異率，選擇適合使用聆聽音樂亦能情緒維持在舒緩愉悅的狀態。這項研究期望提供有效音樂模式，助於治療創作和在舒緩愉悅的狀態。這項研究期望提供有效音樂模式，助於治療創作和在舒緩愉悅的狀態。這項研究期望提供有效音樂模式，助於治療創作和在舒緩愉悅的狀態。這項研究期望提供有效音樂模式，助於治療創作和在舒緩愉悅的狀態。這項研究期望提供有效音樂模式，助於治療創作和音樂療法的相關領域應用。

Music plays an important role in our daily lives. Since music could affect people’s emotion, it has been widely applied to works or sports to enhance the performance of some particular tasks. For example, workers performed better when listening to music, joggers ran longer distance with proper music. However, people usually select music according to their personal preferences. Thus, it might reduce the effect. Therefore, this study aims to establish an intelligent music selection system to provide appropriate songs for users who work at home to enhance their performance. This study established an emotional music database through the classification of data mining. Innovative wearable sensing and computing system were applied to detect heart rate variability. Users’ emotions were predicted and appropriate songs were selected by application software (APP). Machine learning was employed to record the preference of users so as to accurate the precision of classification. The system could select appropriate music automatically by tracing the user’s heart rate variability. More importantly, through experimental validation, this system had been proved has high satisfaction and might not increase mental workload, keep users pleasant and improve performance. With the concept of IoT (Internet of Things) and implantation of diversified developed wearable devices, this system could provide more innovative applications for smart factory, smart home and health care.

Table of Contents
Abstract    IV
Table of Contents    V
List of Figures    VII
List of Tables    IX
1    Introduction    1
2    Literature Review    2
2.1    Music and Emotion    2
2.2    Emotion and Heart Rate Variability    3
2.3    Music features    6
2.4    Machine learning    9
2.5    Summary    10
3    Methodology    11
3.1    Phase I: Music Database Establishment    12
3.2    Phase II: Intelligent Music Selection Construction    15
4    Case Study    26
4.1    Phase I Emotional Music Database Establishment    26
4.2    Phase II Intelligent Music Selection System Establishment    33
4.3    Discussion    50
5    Conclusion    54
6    References    55
Appendix    59
Appendix A The analyzed result of training data    59
Appendix B The analyzed result of testing data    60
Appendix C The classified result of testing data    74
Appendix D The classified result of positive music    75
Appendix E The experiment results of SDNN signals    76
Appendix F The results of system usability scale questionnaires    77
Appendix G Reliability and validity of questionnaire    77
Appendix H The results of satisfaction questionnaires    78
Appendix I The results of NASA-TLX questionnaires    78
Appendix J The measurement model analysis    79
Appendix K The certification of IRB    82

                                

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