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=== Thesis
Acknowledgments 50%
Abstract 10%

Chapter 1 Introduction
1.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20%
1.2 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1.3 Research Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Chapter 2 Related Work
2.1 View from Psychology . . . . . . . . . . . . . . . . . . . . . . . . . .100%
2.1.1 Emotion Models . . . . . . . . . . . . . . . . . . . . . . . . . .
2.1.2 Characteristic and Roles of emotion . . . . . . . . . . . . . . .

2.2 Recognition in Artificial Intelligent . . . . . . . . . . . . . . . . . . . 100%
2.2.1 Emotion Recognition . . . . . . . . . . . . . . . . . . . . . . . 90%
2.2.2 Learning Method . . . . . . . . . . . . . . . . . . . . . . . . . 0%

2.3 Relevance of Emotion Research for Affective Computing . . . . . . .
2.3.1 Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2.3.2 Health Care . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2.3.3 Tutor and Education System . . . . . . . . . . . . . . . . . . .

Chapter 3 Methodology
3.1 Emotion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
3.2 Signal Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
3.3 Learning Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Chapter 4 Experiment
4.1 Mood Induction and Data Collection . . . . . . . . . . . . . . . . . .
4.2 Data Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4.3 Result . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Chapter 5 Conclusion

Appendix A Questionnaire for Mood Induction 5%

[Progress Report] 2007 Feb

• What I have done in February
• 在二月當中，在春假之前，我收集了共15人的資料。其中四種情緒都可以使用的約有12個人
• 已經把取出關鍵時刻資料的parser寫好了. 比如做happy的狀態, 我只需要取所有collect的過程中的最後三分鐘的資料, 而現在parser會根據log的狀態去做.
  
• 跟潘昭將我們的實驗過程大致上做了一個初版的影片. 其中包含如何進行實驗, 以及一個簡單的情境說明我們做的事情有何功效.
  
• What is the main research issue that I am working on right now
• 將data轉化為feature
• related work的整理與撰寫
  
• What I plan to do in March broken down into weekly goals
• now ~ Mar. 10: 寫完related work, 準備group meeting報告
  
• Mar. 11 ~ Mar. 17: Feature parser. 準備care robot demo.(要demo啥??!!)
  
• Mar. 18 ~ Mar. 24: Learning, Mining, (decision tree以及SVM開始) care robot demo.
  
• Mar. 25 ~ Mar. 31: 利用sy的sensor收集data?(需再討論), 寫一部份論文關於實驗的部份
  

加油畢業!!

論文開工

最近忙私事
忙到壓力很大,
但是論文總是開工了!
加油吧...

專心做一件事情的感覺
舒服的多
比壓力小的多

提醒事項

combime parser
第一個參數：資料夾名稱
會自動把讀入的四個channel變成一個檔案myFile.cvs

log parser
第一個參數：資料夾的名稱
會根據log.log把每一段的檔案切出來(fear.cvs, happy.cvs, peace0.cvs, etc.)

feature
第一個參數：資料夾的名稱
會計算features，放到每一段的檔案中(same as name in log parser)

merge to one for support vector machine
把所有資料夾中的所以段結果放到一個大的檔案中給svn使用

[∞]Recently

• Resently Progress.
  
• Since the crack of my plog, I have moved my research blog to http://searchsheila.blogspot.com. The reading reports and ideas still shown in the page.
• Recently, I have reading some application and models about the emotion, I am finding a good application to do my thesis and demo the idea.
  
• In group meeting this week, others gave me some different ideas, such as making a ghost house. The ghost house is "personalized". Different peoples have different feelings of same ghost house. We can control the scene in the house to customize the ghost house. Other ideas are like ``sleeping helper'', ``living room arua controller'', etc. Here are the both way of emotion: one is possitive, the other is negative.
  
• research goal this semanster
• At the end of the semanster, I want to begin the experiment.
  
• Improve my English writing skill.
  
• resently research goal and readings
  
• emotion model choosing
• read research in MIT Media Lab Affective Computing Group.