研究生: |
李奕壎 Yi-Hsuan Li |
---|---|
論文名稱: |
運用紅外線攝影機建構手部體感操作系統 The Hand Somatosensory Controller by Using Infrared Camera |
指導教授: |
吳忠霖
John-Ling Wu |
口試委員: |
莊華益
Hua-Yi Chuang 薛文証 Wen-Jeng Hsueh |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2010 |
畢業學年度: | 98 |
語文別: | 中文 |
論文頁數: | 130 |
中文關鍵詞: | 馬可夫模型 、手部位置追蹤辨識 |
外文關鍵詞: | Markov model, identification of hand position tracking |
相關次數: | 點閱:104 下載:0 |
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本文以紅外線感測器連結個人電腦(PC)裝置,來建構手部體感操作系統,在軟體上使用Microsoft Visual Studio及Allegro函式庫來當做軟體開發平台。
辨識方面為使用紅外線感測器,來抓取手部上反光布移動的軌跡或狀態,再經由馬可夫理論所製作的參考模型,來判斷手部移動的動作及狀態,在手部的動作上設定了18種雙手動作、10種單手動作及4種的特殊動作。
應用上設計了一個手部體感操控的操控平台,操控平台整合了遙控控制及遊戲控制,所控制的系統為多媒體互動系統、遊戲系統及照明模擬系統。在多媒體互動系統下,可以聆聽音樂及瀏覽相片;遊戲系統為設計兩種不同類型的遊戲為手眼協調訓練及手部體感遊戲,手眼協調訓練主要用於復健及訓練,在設計上,設計六種不同的Pattern ,而手部體感遊戲為使用體感操作方式,設計了第一人稱的射擊遊戲,並設計了30種不同的手部操作招式。
In this paper, the hand somatosensory controller by using infrared camera link personal computers (PC) devices.The software development platform uses Microsoft Visual Studio and Allegro(game programming library)library.
This system uses infrared camera of the position of module to real time capture the hand position and use Markov models for set 18 hands movements, 10 single hand movements and 4 species of special movements
We create a hand somatosensory controller platform, in the platform integrate remote control and game control, include a platform for multimedia interactive system, game system and lighting simulation system. In multimedia interactive system, you can listen to music and browse photos; game system for the design of two different types of games the hand-eye coordination training and somatosensory hand games, hand-eye coordination training is mainly used for rehabilitation and training, design six different Pattern, and the hand game use somatosensory controller, design of the first-person shooting game, and designed 30 different hand operations moves.
[1] 洪兆欣,「以軌跡辨識為基礎之手勢辨識系統」,中央大學,碩士論文,(1996)
[2] J. P. Wachs, H. Stern, and Y. Edan, “Cluster labeling and parameter estimation for the automated setup of a hand-gesture recognition system,” IEEE Trans. on Systems, Man, and Cybernetics, Part A, vol. 35, pp. 932-944, Nov. (2005).
[3] R. Cutler and M. Turk, “View-based Interpretation of Real-time Optical Flow for Gesture. Recognition,” in IEEE Conf. on Face and Gesture Recognition,(1998).
[4] R. Yang and S. Sarkar, “Gesture Recognition Using Hidden Markov Models from Fragmented Observations, ” Porc. IEEE Conf. Computer Vision and Pattern Recognition,(2006).
[5] M. Vafadar and A. Behrad, “Human Hand Gesture Recognition Using Motion Orientation Histogram for Interaction of Handicapped Persons with Computer,” in Lecture Notes In Computer Science, Vol. 5099, pp.378-385,(2008).
[6] M. V. Lamar, M. S. Bhuiyan, and A. Iwata , “T-CombNET – A Neural Network Dedicated to Hand Gesture Recognition,” in Lecture Notes In Computer Science, Vol. 1811 pp.613-622 (2000).
[7] E. Stergiopoulou, N. Papamarkos, and A. Atsalakis, “ Hand Gesture Recognition Via a New Self-organized Neural Network,” in Lecture Notes In Computer Science, Vol. 3773, pp.891-904,(2005).
[8] R. H. Liang and M. Ouhyoung, “A real-time continuous gesture recognition system for sign language,’’ Proceeding of the IEEE International Conference on Automatic Face and Gesture Recognition, vol. 3, pp. 558 –567, (1998).
[9] L. Bretzner, I. Laptev, and T.Lindeberg, “Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering, ’’Pro of the 5th IEEE Int. Conf. on Automatic Face and Gesture Recognition, pp.405-410, (2002).
[10] 陳志宇,「虛擬滑鼠:以視覺為基礎之手勢辨識」,碩士論文,國立中山大學,高雄(2003).
[11] 李經寧,「即時手勢辨識系統應用於機上盒控制」,中央大學,碩士論文,(2009)
[12] M. Al-Rajab, D. Hogg, and K. Ng, “A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition,” in Articulated Motion and Deformable Objects,pp. 319-327, (2008).
[13] Wai-ki Ching,Michael k.Ng, MARKOV CHAINS,Springer, NY , (2006)。
[14] SHELDON ROSS,機率導論,華泰文化,臺北 (2006)。
[15] L. Rabiner, B. Juang, “An introduction to hidden markov models,” ASSP Magazine of the IEEE, Vol. 3, Issue 1 , 1986, pp. 4-16.
[16] D. Muramatsu, T. Matsumoto, “An HMM on-line signature verifier incorporating signature trajectories,” Seventh International Conference on Document Analysis and Recognition, pp. 438-442,(2003).
[17] Jane, C. S., Anne S. A. & Pat, N.P. Occupational therapy for children. St. Louis. (1996)
[18] wikipedia.Eye–handcoordination,
http://en.wikipedia.org/wiki/Eye–hand_coordination
[19] The VALPAR Componect Work Sample Series 9 product
http://www.valparint.com/WS9.HTM
[20] The VALPAR Componect Work Sample Series 11 product
http://www.valparint.com/WS11.HTM