A Virtual Music Control System Based on Dynamic Hand Gesture Recognition

详细信息    查看全文

• 关键词：Virtual music ; Gesture segmentation ; Trajectory tracking ; Gesture recognition
• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：10092
• 期：1
• 页码：74-85
• 参考文献：1.DAS EFFEKTORIUM. MUSEUM IM MENDELSSOHN-HAUS, LEIPZIG [DB/OL] (2014). http://​235media.​de/​2014/​02/​museum-im-mendelssohn-haus-leipzig/​?​lang=​de
  2.Wei, Z., Yin, W., Cong, J., Qin, Z.: Comparative study of DMS and conventional stereo based on subjective evaluation experiment. In: 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP), pp. 236–240 (2013)
  3.Angelov, P., Gude, C., Sadeghi-Tehran, P., Ivanov, T.: Autonomous real—time object detection and tracking by a moving camera. In: 2012 6th IEEE International Conference Intelligent Systems (IS), pp. 446–452 (2012)
  4.Lee, J.S., Lee, Y.J., Lee, E.H., et al.: Hand region extraction and gesture recognition from video stream with complex background through entropy analysis. In: Proceedings of the 26th Annual International Conference of the IEEE EMBS, San Francisco, CA, USA (2004)
  5.Wang, J.-Y., Cohen, F.S.: 3-D object recognition and shape estimation from image contours using B-splines, shape invariant matching, and neural network. IEEE Trans. Pattern Anal. Mach. Intell. 16(1), 13–23 (1994)CrossRef
  6.Wang, X., Bao, H.: Gesture recognition based on adaptive genetic algorithm. J. Comput.-Aided Des. Comput. Graph. 08, 1056–1062 (2007). Hangzhou
  7.Ren, H., Zhu, Y., Xu, G., Zhang, X., Lin, X.: Hand gesture segmentation and recognition with complex backgrounds. Acta Automatica Sinica|Acta Autom Sin (02), 256–261 (2002)
  8.Zhu, J., Wang, X., Wang, W., Dai, G.: Hand gesture recognition based on structure analysis. Chin. J. Comput. (12), 2130–2137 (2006)
  9.Xiao, Z., Qin, H.: Human-computer interaction based on gaze tracking and gesture recognition. Comput. Eng. (15), 198–200 (2009)
  10.Fan, B., Wang, M., Dong, Y.: Hand gesture segmentation based on skin color detection technology. Comput. Technol. Dev. 18(3), 105–108 (2008)
  11.Zhang, M., Zhongiu, Yu., Yao, S.: Image pretreatment research in recognition of handwritten numerals. Control Autom. 22(16), 256–258 (2006)
  12.Zhong, F.: Machine-vision-based Gesture Recognition System. Wuhan University of Technology (2013)
  
• 作者单位：Yingying Zhang (17)
  Jingling Wang (17)
  Long Ye (17)
  Xue Xue (17)
  Qin Zhang (17)
  
  17. Communication University of China, No.1 Dingfuzhuang East Street, Chaoyang District, Beijing, 100024, People’s Republic of China
  
• 丛书名：Transactions on Edutainment XIII
• ISBN：978-3-662-54395-5
• 卷排序：10092

文摘

Gesture Recognition technology has been widely used in virtual reality and human-computer interaction. This paper proposed a virtual music control system based on dynamic hand gesture recognition. The system mode was mainly designed and realized by three modules including control terminal, client terminal and the server. By capturing the gesture image sequence via a cellphone camera, the system is able to recognize information characters of gestures such as number of fingers and movement of gesture trace. Control terminal generate different instructions and send them to client terminal via server. Relative experiments showed that the interaction system had good applicability and portability.