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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 顏嗣鈞 | |
| dc.contributor.author | Pin-Han Chen | en |
| dc.contributor.author | 陳品翰 | zh_TW |
| dc.date.accessioned | 2021-06-13T16:51:14Z | - |
| dc.date.available | 2016-07-26 | |
| dc.date.copyright | 2011-07-26 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-07-15 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/38895 | - |
| dc.description.abstract | 手勢辨識為目前人機介面的熱門研究主題，由於手勢的方便性及其直覺性，近年來更有車廠想將手勢應用於操控車上的資訊娛樂系統，讓駕駛者可以專心的將視線放於路面上，能夠安全地一邊開車一邊操控車上的手機通話、CD播放器、調整電台等等。
本論文提出以自適應性膚色偵測自動調整使用者的膚色值域，並由此得到使用者的手部影像，接著計算其輪廓匹配程度。我們定義了10種台灣數字手勢，能夠即時的辨識，可用於一般的靜態手勢辨識應用，或是作為動態手勢的基礎，並且整體平均辨識率高達9成，我們發現相較於先前文獻的方法大大提升其便利性，但效能和辨識率卻未受明顯地影響，並且辨識的手勢集更為完整，以及手掌的正反面入鏡、甚至是使用左手皆可準確的辨識。 | zh_TW |
| dc.description.abstract | Hand gesture recognition has become popular in the field of human-computer interaction research. Because of the convenience and intuitiveness of hand gestures, automobile companies have applied hand gestures in their infotainment systems in order to eliminate driver distractions while on the road.
This thesis proposes a hand gesture recognition method using adaptive skin-color detection for automatic skin color thresholds in order to obtain accurate segmentations of the hand contours, from which similarity of the contour shapes can be calculated. Hand gestures for 10 numbers in Taiwanese sign language are defined and are detected in real-time. Our system can be used for generally static hand gesture recognition applications, or can be extended for dynamic hand gesture recognitions. The overall average recognition rate for our system is 90%, and our system is more efficient in comparison to previous work while accuracy is unaffected. In addition, the dictionary of our hand gestures is relatively more complete, and users can even use their left hands to get the same satisfactory recognition results. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T16:51:14Z (GMT). No. of bitstreams: 1 ntu-100-R98921071-1.pdf: 2612806 bytes, checksum: 064d6d49ecd4b159e78f473768ebcba9 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 誌謝 i
摘要 ii ABSTRACT iii 目錄 iv 圖目錄 vi 表目錄 vii 第一章 緒論 1 1.1 研究動機 1 1.2 研究目的 2 1.3 相關文獻 2 1.4 論文貢獻 4 1.5 論文架構 4 第二章 手勢辨識相關技術 6 2.1 Haar-like特徵擷取 6 2.2 分類法 10 2.2.1 AdaBoost學習演算法 10 2.2.2 拓樸特徵分類法 13 2.3 膚色偵測 14 2.3.1 色彩空間 15 2.3.2 明確定義膚色的門檻值 16 2.3.3 膚色模型化 17 2.3.4 適應光源性調整 17 第三章 數字手勢辨識 19 3.1 手勢定義 19 3.2 系統流程 22 3.3 自適應性膚色偵測 23 3.3.1 門檻值與色彩空間 24 3.3.2 全域膚色偵測器 25 3.3.3 自適應性膚色偵測演算法 25 3.3.4 移動偵測 26 3.4 雜訊去除 27 3.5 去除手臂 29 3.6 輪廓計算與匹配 31 3.6.1 矩 31 3.6.2 中心矩 32 3.6.3 正規化矩 33 3.6.4 Hu矩 33 3.6.5 輪廓匹配 33 第四章 實驗結果 35 4.1 實驗環境配置 35 4.2 去除手臂結果 36 4.3 輪廓計算與匹配實驗結果 38 4.4 手勢辨識結果 41 4.5 效能分析 42 4.6 與先前文獻之比較 43 第五章 結論與未來展望 46 參考文獻 48 | |
| dc.language.iso | zh-TW | |
| dc.subject | 靜態手勢辨識 | zh_TW |
| dc.subject | 自適應性膚色偵測 | zh_TW |
| dc.subject | 輪廓匹配 | zh_TW |
| dc.subject | adaptive skin color detection | en |
| dc.subject | hand posture recognition | en |
| dc.subject | shape matching | en |
| dc.title | 基於自適應性膚色偵測與輪廓匹配之即時性手勢辨識 | zh_TW |
| dc.title | Hand Posture Recognition Using Adaptive Skin Color Detection and Shape Matching | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 莊仁輝,雷欽隆,黃秋煌,郭斯彥 | |
| dc.subject.keyword | 自適應性膚色偵測,輪廓匹配,靜態手勢辨識, | zh_TW |
| dc.subject.keyword | adaptive skin color detection,shape matching,hand posture recognition, | en |
| dc.relation.page | 51 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-07-15 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
| 顯示於系所單位： | 電機工程學系 | |
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