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研究生:李奇明
研究生(外文):Chi-Ming Li
論文名稱:利用臉部表情診斷學習困難度之研究
論文名稱(外文):Diagnosing learning difficulty with facial expression recognition
指導教授:莊謙本莊謙本引用關係
指導教授(外文):Chien-Pen Chuang
學位類別:碩士
校院名稱:國立臺灣師範大學
系所名稱:工業教育學系
學門:教育學門
學類:專業科目教育學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:97
中文關鍵詞:邊緣偵測特徵擷取人臉表情辨識適性學習
外文關鍵詞:edge detectionCharacteristic extractionfacial expression recognizesE-learning
相關次數:
  • 被引用被引用:11
  • 點閱點閱:681
  • 評分評分:
  • 下載下載:170
  • 收藏至我的研究室書目清單書目收藏:4
人臉偵測與人臉辨識目前廣泛應用於門禁監視系統(surveillance)、智慧型電腦介面控制(HCI)、身分認證(BIA)、安全資訊存取(SIA)等相關應用上。然而人臉偵測又是人臉表情辨識與人臉追蹤前置處理之重要動作,因此探討利用臉部表情作為診斷學習困難度亦為一相當有趣的研究課題。
本文結合影像前處理、人臉偵測及人臉表情辨識技術,應用於診斷學習者的學習困難度。將WebCam所攝取的臉部影像,經過整合型濾波器抑制雜訊,再透過Sobel邊緣偵測取得影像邊緣特徵,接著利用邊緣強化加強影像輪廓;然後利用膚色偵測擷取眼睛和嘴巴的特徵,最後利用迴避度、專注度及愉悅度等向量進行困難度表情辨識,以自行拍攝40人,2040張之人臉資料庫的實驗結果發現學習困難度的辨識率可達92%。可見臉部表情對於診斷學習困難度已有可行性,將來可以應用在E-learning適性學習系統。
Facial detection and recognition have been utilized in areas such as surveillance system ,human controller interface(HCI), biometric identity authentification(BIA) and Security Information Access(SIA). However, Facial detection is an important preprocessing before facial expression recognition and facial tracing , Therefore ,it is an interesting research to design diagnosing the learning difficulty with facial expression recognition.
In this study, we combined the image processing technical ,included image preprocessing ,Facial detection and facial expression recognition. This paper discusses three phase .In the first phase ,It captured the facial picture from a WebCam , Removing noise from the facial picture through an integrated filter while preserving and enhancing edges is one of the most fundamental operations of image processing. Then, the second phase used the color of skin method to extract the eyes and mouth characteristic, Finally, based on the facial emotion vector theories (withdrawal,careness,happiness) , we used it to diagnose the learning difficulty with facial expression recognition.In our experiment , we captured 2040 piece of facial images by 40 students utilizing WebCam for facial recognition database.The experiment result showed an correctness rate of 92 percent . The experiment proved that we can utilizing the proposed method for E-learning system in the further .
目錄
中文摘要 1
英文摘要 1
誌 謝 2
目 錄 3
圖 次 5
表 次 7
第壹章 緒論 8
第一節 研究背景與動機 8
第二節 研究目的 11
第三節 研究方法與步驟 12
第四節 研究範圍與限制 13
第五節 名詞解譯 13
第六節 論文之架構 14
第貳章 文獻探討 16
第一節 影像前處理相關研究 16
第二節 人臉偵測相關研究 25
第三節 人臉表情辨識相關研究 38
第四節 表情與情緒空間轉換理論 47
第五節 電腦化適性學習的比較分析 48
第參章 系統架構及設計 54
第一節 系統相關研究 54
第二節 系統需求 55
第三節 系統設計 56
第四節 系統實作 58
第肆章 實驗結果 62
第一節 實施設備 62
第二節 實驗結果 63
第三節 實驗結果分析 71
第伍章 結論與建議 79
第一節 結論 79
第二節 建議 79
參考文獻 81
附錄一 診斷臉部表情與學習困難度資料庫 86
附錄二 數學學習評量題庫 89
附錄三 數學科興趣量表 96
附錄四 電腦化學習數學問卷 97
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