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論文名稱(外文):Face2Music : Implementing a music control system based on facial emotion recognition using the OM2M framework
指導教授(外文):Chuan-Ching Sue
外文關鍵詞:Internet of ThingsOM2MEmotion RecognitionSpeaker Control System
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近年來AI及物聯網快速發展,人們可以透過這些技術滿足自己的生活所需,包括情緒健康。當人們的生活面對過多壓力,情緒受到影響,甚至會產生精神上的疾病。為了舒緩現代人的壓力,並考量使用服務的便利性,本篇研究結合了AI及物聯網的技術,實作了娛樂型人機互動系統-Face2Music,包含情緒控制模組 (Emotion Controller Module)、喇叭管理模組 (Speaker Manager Module)、音樂管理模組 (Music Manager Module) 等三個模組。在情緒控制模組中,透過AI情緒辨識,使用者可以利用表情即時控制音樂播放裝置 (本篇系統設定若偵測到開心的表情,則給予播放音樂的回饋)。喇叭管理模組可以調整音樂播放器的開關、音量設定,並針對群組或個別做控制。音樂管理模組搭載了音樂資料庫及HTTP Server,並提供web管理頁面,可修改音樂播放清單,並設有可對喇叭進行控制的音樂播放器。為了讓服務可以獲得更廣泛的利用,達到智慧家庭、智慧城市的概念,本系統以OM2M為框架,將三個模組建置四層結構之中-Application Layer、Network Layer、Gateway Layer、Device Layer。
In recent years, AI and the Internet of Things (IoT) have developed rapidly. People can use these technologies to meet their own needs, including emotional health. When people's lives face excessive pressure, their emotions are affected, and even mental illness may occur. In order to reduce emotional problems and consider the convenience of using services, this study combines the techniques of AI and the IoT to implement the interactive human-machine interaction system - Face2Music, including the Emotion Controller Module, Speaker Manager Module and Music Manager Module. In the emotion control module, through AI emotion recognition, the user can use the expression to control the music playback device immediately (our system gives a feedback of playing music if a happy expression is detected). The speaker management module can adjust the power and volume settings of the music player and control the group or individual. The music management module is equipped with a music database and HTTP server, and provides a web management page, that can modify the music play list and control the speaker by music player. In order to make the service more widely available and reach the concept of smart homes and smart cities, we use OM2M as the framework to build three modules into a four-layer structure - Application Layer, Network Layer, Gateway Layer, and Device Layer.
中文摘要 III
Abstract IV
Contents 1
List of Tables 4
List of Figures 5
1. Introduction 7
2. Background 11
2.1. Emotion Recognition 11
2.1.1. Classification of Emotion 11
2.1.2. Approaches of Emotion Recognition 11
2.2. OneM2M 13
2.2.1. OneM2M Architecture and Definitions 13
2.2.2. OneM2M Common Services Functions 16
2.2.3. OneM2M Resource Type 17
2.3. Eclipse OM2M 18
2.4. Node-Red 20
3. Related Work 20
3.1. Facial Expressions Recognition 20
3.2. Emotion Transmission 21
3.3. IoT Application using oneM2M 21
4. System Architecture 22
4.1. Emotion Controller Module 25
4.1.1. Face2Music App (IN-AE) in ECM 26
4.1.2. Emotion Recognition (IN-AE) 27
4.1.3. Trigger (MN-AE) 29
4.1.4. Music Controller (MN-AE) 30
4.1.5. Raspberry Pi and Speaker (ADN-AE) 31
4.2. Music Manager Module 33
4.2.1. Music Manager (IN-AE) 34
4.2.2. Music Database 35
4.2.3. Music HTTP Server 36
4.3. Speaker Manager Module 36
4.3.1. Face2Music (IN-AE) SMM Part 37
4.3.2. Speaker Controller (MN-AE) 38
5. System Implementation 39
5.1. Equipment Setup 40
5.1.1. Hardware Information 40
5.1.2. Network Setup 42
5.1.3. Application Entity Information 43
5.2. OM2M System Implementation 44
5.2.1. OM2M Registration 45
5.2.2. OM2M Resource Creation and Subscription 45
5.3. Modules Implementation 47
5.3.1. Emotion Controller Module 47
5.3.2. Music Manager Module 49
5.3.3. Speaker Manager Module 51
6. Evaluation 55
6.1. Emotion Recognition Test 55
6.2. Face2Music Test 57
7. Conclusion and Future Work 59
8. References 60
Appendices 64
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