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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 周瑞仁(Jui-Jen Chou) | |
| dc.contributor.author | Ching-Wei Kao | en |
| dc.contributor.author | 高敬瑋 | zh_TW |
| dc.date.accessioned | 2021-06-13T00:03:38Z | - |
| dc.date.available | 2016-08-10 | |
| dc.date.copyright | 2011-08-10 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-08-06 | |
| dc.identifier.citation | 1. Agro-Technology. On-line available at: http://www.xinnong.com/jishu/shucai/shengcai/. Accessed 15 July. 2011.
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Enabling fast and effortless customisation in accelerometer based gesture interaction. 3rd International Conference on Mobile and Ubiquitous Multimedia. 25-31. Maryland, United States. 32. Molet, T., H. Zhiyong, R. Boulic, and D. Thalmann. 1997. An animation interface designed for motion capture. Computer Animation 3: 77-85. 33. Nayak, S., S. Sarkar, and B. Loeding. 2009. Distribution-based dimensionality reduction applied to articulated motion recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 31: 795-810. 34. Portillo-Rodriguez, O., C. A. Avizzano, E. Sotgiu, S. Pabon, A. Frisoli, J. Ortiz, and M. Bergamasco. 2007. A wireless Bluetooth data-glove based on a novel goniometric sensors. 16th IEEE International Symposium on Robot and Human interactive Communication. 1185-1190. Jeju Island, Korea. 35. Schlomer, T., B. Poppinga, N. Henze, and S. Boll. 2008. Gesture recognition with a Wii controller. 2nd ACM International Conference on Tangible and Embedded Interaction.11-14. Bonn, Germany. 36. Shi, Y., and T. Tsui. 2007. An FPGA-based smart camera for gesture recognition in HCI applications. 8th Asian Conference on Computer Vision. 718-727. Tokyo, Japan. 37. ShuCaiYuan (in Chinese). On-line available at: http://www.shucaiyuan.com/Technology/list/?sid=23. Accessed 15 July. 2011. 38. Tokyo Digital Museum. On-line available at: http://digitalmuseum.rekibun.or.jp/index.html?lang=en. Accessed 15 July. 2011. 39. Valibeik, S., and Y. Guang-Zhong. 2008. Segmentation and tracking for vision based human robot interaction. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 3: 471-476. Sydney, NSW. 40. Virtual Museum of Canada. On-line available at: http://www.museevirtuel-virtualmuseum.ca/index-eng.jsp. Accessed 15 July. 2011. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/28252 | - |
| dc.description.abstract | 本研究主要係開發一套數位萵苣博物館以及設計一套人機介面，藉由Wii遙控器與紅外線發光二極體陣列(IR LED array)模擬滑鼠功能與手勢辨識來操控電腦以及套裝軟體。利用手勢辨識可以快速地啟動數位萵苣博物館和其他的應用程式。手勢辨識主要係利用互相關分析來辨識使用者揮出的手勢，在內建資料庫中則建立八種手勢。手勢辨識的平均辨識率可達91.25%。此外，本系統亦容許使用者自行建立手勢資料庫。除了手勢辨識之外，亦可利用滑鼠模擬功能操控數位萵苣博物館和其他應用程式。數位萵苣博物館係由Matlab所建構，總共收集了19種萵苣品種並加以介紹，內容包括中英文品名、學名、特徵、適合種植的氣候條件、整地、施肥需求和圖片等。利用Wii遙控器控制電腦可以作為數位萵苣博物館教學或簡報之媒介，不必侷限於電腦前面才能進行操控。 | zh_TW |
| dc.description.abstract | This study is to develop a digital lettuce museum and design a human machine interface (HMI) for mouse emulation and gesture recognition to manipulate computers and software packages through Nintendo Wii remote controller and IR LED array. Gesture recognition is used to quickly launch the digital lettuce museum and other applications. The gesture recognition algorithm employs cross correlation approach to recognize eight gestures built in the database. The average recognition rate for the eight gestures can be up to 91.25%. Besides, the system allows users to define their own gestures for customized database. The system also provides a mouse function to manipulate the digital lettuce museum and other applications except gesture recognition. The digital lettuce museum is developed based on Matlab, which consists of 19 cultivars of lettuce described in details, including common names of lettuce in both Chinese and English, scientific name, plant features, climate for suitable cultivation, field preparation, fertilization and pictures etc. The HMI used to control a computer and software packages may serve as a teaching or presentation medium without getting trapped in front of the computer. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T00:03:38Z (GMT). No. of bitstreams: 1 ntu-100-R96543059-1.pdf: 1201933 bytes, checksum: 3104f52bb7905bab2bc71b6d7748cfca (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 論文口試委員審定書 i
誌謝 ii 摘要 iii Abstract iv Table of Contents v Figures vii Tables viii Chapter 1 Introduction 1 Chapter 2 Literature Review 3 2.1 Dgital Museum 3 2.2 Gesture-based human machine interface system 5 Chapter 3 Materials and Methods 9 3.1 Overview of HMI System 9 3.2 Hardware of HMI 10 3.2.1 Infrared Camera 11 3.2.2 Gyroscope 11 3.3 Software of HMI 13 3.3.1 GlovePIE 13 3.3.2 Gesture Recognition 15 3.3.2.1 Gesture Database Building 15 3.3.2.2 Cross Correlation and Recogniton 20 3.4 Digital Lettuce Museum 22 3.5 Application list 29 Chapter 4 Results and Discussion 31 4.1 Gesture Recognition Results 32 4.2 Manipulation of Computer and Operation of Digital Lettuce Museum 34 4.2.1 Direct approach 35 4.2.2 Indirect approach 36 Chapter 5 Conclusions 38 References 39 | |
| dc.language.iso | en | |
| dc.subject | 手勢辨識 | zh_TW |
| dc.subject | 互相關分析 | zh_TW |
| dc.subject | Wii遙控器 | zh_TW |
| dc.subject | 數位萵苣博物館 | zh_TW |
| dc.subject | Digital lettuce museum | en |
| dc.subject | Wii remote controller | en |
| dc.subject | Gesture recognition | en |
| dc.subject | Cross correlation analysis | en |
| dc.title | Wii遙控技術應用於數位萵苣博物館之操控 | zh_TW |
| dc.title | Wii Remote Control Used in Manipulation of Digital Lettuce Museum | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 萬一怒(Yi-Nu Wan),葉仲基(Chung-Kee Yeh) | |
| dc.subject.keyword | 數位萵苣博物館,Wii遙控器,手勢辨識,互相關分析, | zh_TW |
| dc.subject.keyword | Digital lettuce museum,Wii remote controller,Gesture recognition,Cross correlation analysis, | en |
| dc.relation.page | 44 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-08-08 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 生物產業機電工程學研究所 | zh_TW |
| 顯示於系所單位： | 生物機電工程學系 | |
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| ntu-100-1.pdf 未授權公開取用 | 1.17 MB | Adobe PDF |
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