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系統識別號 U0026-1208201316502600
論文名稱(中文) 智慧廚房料理動作辨識流程之建立
論文名稱(英文) Building a Recognition Process of Cooking Actions for Smart Kitchen System
校院名稱 成功大學
系所名稱(中) 工業設計學系碩博士班
系所名稱(英) Department of Industrial Design
學年度 101
學期 2
出版年 102
研究生(中文) 蔡宗翰
研究生(英文) Tsung-Han Tsai
學號 P36001053
學位類別 碩士
語文別 英文
論文頁數 63頁
口試委員 指導教授-吳豐光
口試委員-陳建旭
口試委員-張淑美
中文關鍵字 智慧廚房  行為層級關係  動作分析  影片分析法  決策樹 
英文關鍵字 Smart Kitchen  Human Behavior Taxonomies  Motion analysis  Video analysis  Decision Tree Learning 
學科別分類
中文摘要 智慧化家庭的生活型態已經普遍被各國視為未來發展的方向。目前智慧廚房的發展比較著重在系統的應用以及系統與環境的整合,目前只能作到動作定位與基本的動作辨識,對於一些複雜動作的辨識分析並沒有深入著墨。本研究的主要目的是針對使用者在廚房內從準備食材到料理的這段過程中,所涉及到的操作行為與動作進行分析與研究,利用影片分析法擷取出動作參數,觀察動作差異後建立特徵維度,然後利用決策樹分析,在使用者與廚具的操作互動中找出各項動作執行時的決策數據,將這些決策數據作為系統判斷相似動作時的依據,進而建立一套完善的料理動作資料庫。讓智慧廚房系統達到藉由辨識而了解且區分使用者動作的智慧化程度。本研究完成一套可以用作智慧廚房辨識依據的基準,另外也建立基本的動作資料庫如動作影片檔案和動作參數等。這些資料也能利用不同影像分析方法進行分析,甚至可以找出和建立更多辨識參數,應用於料理輔助系統和擴增食譜輔助系統,甚至是學校烹飪動作教學系統等智慧廚房的發展上。
英文摘要 To provide useful devices which are most closely to daily life, an intelligent family lifestyle has comprehensively seen the direction of future development worldwide. Smart kitchen should focus its development on the actual interaction with the user and the environmental objects, rather than emphasize on complicated instructions and feedback, unfortunately the current techniques can only be designed to recognize the motions and basic actions. The main purpose of this paper is to analyze and research user motions and actions involved in the process of cooking, including ingredient preparation, and to discover multiple action identification characteristics for the user and cooking utensils. By using the video analysis, ultimately, the project will use these characteristics to establish reliable cooking actions database. Our study can distinguish between similar action, the model is primarily used to identify, understand and differentiate the extent of the intellectuality of user motions. This model in the future may be used and applied to the cooking support system or other smart kitchen developments.
論文目次 1.Introduction........................................................................................................1
1.1 General Background..................................................................................1
1.1.1 Brief review of Smart Home development..................................1
1.1.2 Brief review of Smart Home recognition technology..................3
1.1.3 Introduction about Smart Kitchen................................................4
1.1.4 Recognition technology of Smart Kitchen...................................5
1.2 Motivation..................................................................................................7
1.3 Research Purpose and Scope.....................................................................9
1.4 Overview of the Thesis............................................................................10
2.Literature Review............................................................................................11
2.1 Cooking Support Systems........................................................................11
2.2 Human Behavior Analysis(HBA) Taxonomies........................................15
2.3 Human Action Video Set..........................................................................18
3.Methodology....................................................................................................21
3.1 Outline of Research Framework..............................................................21
3.2 Methods and Steps...................................................................................22
3.2.1 Content Analysis........................................................................22
3.2.2 Expert Interview.........................................................................23
3.2.3 Recording Cooking Actions Video............................................23
3.2.4 Video Analysis...........................................................................27
3.2.5 Data Analysis.............................................................................29
3.2.5.1 Attribute Analysis........................................................29
3.2.5.2 Decision Tree Learning................................................29
4.Analysis and Results......................................................................................31
4.1 Cooking Actions Taxonomies..................................................................31
4.1.1 Result of Content Analysis........................................................31
4.1.2 Result of Experts Interview.......................................................33
4.2 Cooking Actions Video Set......................................................................35
4.3 Video Analysis Results.............................................................................38
4.3.1 Analysis Results of Reference Video.........................................38
4.3.2 Video Analysis Result................................................................39
4.4 Motion Elements Database......................................................................40
4.4.1 Attribute.....................................................................................40
5.Discussion.........................................................................................................41
6.Conclusion........................................................................................................45
6.1 Conclusion and Future Study...................................................................45
Reference...............................................................................................................47
Appendix...............................................................................................................51
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