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可穿戴智能戒指在多媒体投影系统中的应用 被引量:2

The wearable intelligence ring using in multimedia projection system
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摘要 以可穿戴智能戒指为核心,利用激光变频、图像处理、视频跟踪定位、无线通信传输、无线调频收发等技术设计了一种多媒体投影系统。系统包括可穿戴智能戒指、无线收发模块、图像传感器、计算机等部分,其中可穿戴智能戒指集无线鼠标、无线激光教鞭、无线语音麦克功能于一体,实现"合三为一"。与其他多媒体投影系统相比,本戒指具有小巧实用,便携省电等特点,能够为课堂教学与协作会议带来生动便捷的交互式体验。 This is a multimedia projection system which puts a wearable intelligence ring as the core, adopting the technology including laser frequency conversion,image processingand,video tracking location,wireless communication transmission and wireless FM transceiver. And the system is made up of wearable intelligence rings, wireless transceiver module,image sensor and computer,in which the wearable intelligence rings integrate the function of wireless mouse,wireless laser pointer and wireless voice microphone, achieving the goal of "three to one". Compared with the other multimedia projection systems,the intelligence ring is compact and practical as well as portable and power-saving which will invigorate classroom teaching and collaboration meeting with a sense of convenient interactive experience.
出处 《电子技术应用》 北大核心 2015年第10期71-72,76,共3页 Application of Electronic Technique
关键词 可穿戴智能戒指 多媒体投影系统 激光变频 图像处理 wearable intelligent ring multimedia projection system laser frequency conversion image processing
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  • 1林森,惠晓威,杨顺.基于DSP的玻璃酒瓶检测系统研究[J].微计算机信息,2005,21(06S):72-73. 被引量:5
  • 2SAA7113 H.pdf.http://www.omnivision.com
  • 3TMS520vc5416.pdf. http://www.ti.com
  • 4Hornik K. Approximation capabilities of multilayer feedforward networks. Neural Networks, 1991, 4(2): 251-257.
  • 5Leshno M, Lin V Y, Pinkus A, Schocken S. Multilayer feedforward networks with a nonpolynomial activation function can approximate any function. Neural Networks, 1993, 6(6) : 861-867.
  • 6Huang G-B, Babri H A. Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions. IEEE Transactions on Neural Networks, 1998, 9(1): 224-229.
  • 7Huang G-B. Learning capability and storage capacity of two hidden-layer feedforward networks. IEEE Transactions on Neural Networks, 2003, 14(2): 274-281.
  • 8Huang G-B, Zhu Q-Y, Siew C-K. Extreme learning machine: Theory and applications. Neurocomputing, 2006, 70 (1-3): 489-501.
  • 9Vapnik V N. The Nature of Statistical Learning Theory. New York: Springer, 1995.
  • 10Rousseeuw P J, Leroy A. Robust Regression and Outlier Detection. New York: Wiley, 1987.

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