| 摘要(英) |
To control home appliances conveniently, most of home appliances have their own remote controllers. However, you may have the following experience such as: you want to watch TV but you can’t find a remote controller. Or many users to watch TV simultaneously, the remote controller may need to be passed to each other for controlling the TV. Due to the above inconveniences, intelligent remote control for home appliances has become much more popular in recent years. In this thesis, we design a system in which the users can control the home appliances intelligently. Based on the sound of handclap and some hand gestures, the user can achieve the above goals without taking any transmitter or sensor. The system can recognize twelve static gestures and six dynamic gestures which stand for different commands.
First, the user applauds three times continuously; the sound signal is captured and recorded. Then the system identifies whether the signal is a hand clap or not. If it is a hand clap, the system can use fuzzy control to find the user’s location. Once the use’s position is detected, the camera rotates toward the user and captures the original image of the user. After image pre-processing, the gestures of the user is captured and recognized. Different gestures denote different commands for remote control of the home appliances. Finally, the recognized commands are transferred to control the home appliances by the infrared rays of specific frequency.
In this thesis, the following topics are studied, such as signal identification of hand clap sound, sound source location by fuzzy control, image processing for gesture recognition and the making of the infrared rays module.
|
| 參考文獻 |
[1] C. L. Hsu, S. Y. Yang and W.-B. Wu, “Implementing speech-recognition microprocessor into intelligent control-system of home-appliance,” in Proceedings of IEEE Asia-Pacific Services Computing Conference, Dec. 2008, pp. 881 - 885.
[2] R. Wang, H. Bi, J. Liu, L. Wu and B. Fang, “Interactive intelligent media player based on head motion recognition,” in Proceedings of IEEE Electron Commerce and Security, Oct. 2009, pp. 81 - 84.
[3] 吳怡明 (蔡超人 教授指導)，“手勢辨識應用於遙控音樂播放系統”，國立台灣科技大學電機工程學系，碩士論文，2009年1月。
[4] P. Premaratne and Q. Nguyen, “Consumer electronics control system based on hand gesture moment invariants,” IET Computer Vision, vol. 1, pp. 35 - 41, Apr. 2007.
[5] P. Kakumanu, S. Makrogiannis and N. Bourbakis, “A survey of skin-color modeling and detection methods,” Pattern Recognition, vol. 40, pp. 1106 - 1122, Mar. 2007.
[6] S. Mitra and T. Acharya, “Gesture recognition: a survey,” IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews, vol. 37, pp. 311 - 324, May 2007.
[7] F. S. Chen, C. M. Fu and C. L. Huang, “Hand gesture recognition using a real-time tracking method and hidden Markov models,” Image and Vision Computing, vol. 21, pp. 745 - 758, Aug. 2003.
[8] W. C. Ng and S. Ranganath, “Real-time gesture recognition system and application,” Image and Vision Computing, vol. 20, pp. 993 - 1007, Dec. 2002.
[9] X. Yin and X. Zhu, “Hand posture recognition in gesture-based human-robot interaction,” in Proceedings of IEEE Conference on Industrial Electronics and Applications, May 2006, pp. 1-6.
[10] 黃俊捷 (王文俊 教授指導)，“互動雙足式機器人之設計與實現(Ι) 手勢辨識”，國立中央大學電機工程學系，碩士論文，2008年6月。
[11] 李經寧 (蘇木春 教授指導)，“即時手勢辨識系統應用於機上盒控制”，國立中央大學資訊工程學系，碩士論文，2009年12月。
[12] 余興榕 (李佩君 教授指導)，“應用於智慧型病房之指向辨識與控制設備系統之實現”，國立暨南國際大學電機工程學系，碩士論文，2008年6月。
[13] Y. H. Chang, L. W. Chan, J. C. Ko, M. S. Lee, J. Hsu and Y. P Hung, “QPalm: A gesture recognition system for remote control with list menu,” in Proceedings of IEEE International Conference on Ubi-Media Computing, pp. 20 - 26, Aug. 2008.
[14] D. Lee and Y. Park, “Vision-based remote control system by motion detection and open finger counting,” IEEE Transactions on Consumer Electronics, vol. 55, pp. 2308 - 2313, Nov. 2009.
[15] K. Irie, N. Wakamura and K. Umeda, “Construction of an intelligent room based on gesture recognition operation of electric appliances with hand gestures,” in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 193 - 198, Oct. 2004.
[16] A. Bhatti, Stereo Vision, I-Tech, 2008.
[17] W. Xinyu, G. Haitao, C.Pei, Z. Zhong and X. Yangsheng, “Intelligent household surveillance robot,” in Proceedings of IEEE International Conference Robots and Biomimetics, May 2009, pp. 1734 - 1739.
[18] L. Xiaoling and Z. Minglu, “Sound source localization based on robot hearing and vision,” in Proceedings of International Conference on Computer Science and Information Technology, Feb. 2008, pp. 942 - 946.
[19] H. S. Kim and J. S. Choi, “Sound source localization using sparse coding and SOM,” in Proceedings of IEEE Conference on Emerging Technology & Factory Automation, Apr. 2009, pp. 1 - 7.
[20] N. Ikoma, O. Tokunaga, H. Kawano and H. Maeda, “Tracking of 3D sound source location by particle filter with TDOA and signal power ratio,” in Proceedings of Conference on Society of Instrument and Control Engineers, Nov. 2009, pp. 1374 - 1377.
[21] 吳志祥 (王榮泰 教授指導)，“應用全方位移動機器人搜尋音源方位”，國立成功大學工程科學學系，碩士論文，2007年7月。
[22] 劉銘中、林琮烈，MCS-51單晶片原理與設計實務 KEIL C 語言版，儒林圖書公司，2007.
[23] 林廷燦 (王文俊 教授指導)，“具影像辨識及自動跟隨功能之智慧型購物車”，國立中央大學電機工程學系，碩士論文，2010年6月。
[24] R. C. Gonzalez and R. E. Woods, Digital Image Processing, Prentice Hall, 2002.
|
[Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
[檢視]
plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit