2016年手势识别外文翻译--基于FPGA的实时手势识别

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1、2250 英文单词， 1.1 万英文字符 ， 中文 3550 字 文献出处： Raheja J L , Subramaniyam S , Chaudhary A . Real-time hand gesture recognition in FPGAJ. Optik - International Journal for Light and Electron Optics, 2016, 127(20):9719-9726. Real-time hand gesture recognition in FPGA Jagdish Lal Raheja, Shriram Subramaniyam, A

2、nkit Chaudhary Abstract Hand Gesture has been used in different applications and also implemented on different platforms. A faster and smooth approach with reasonable accuracy is always needed to make smart devices smarter and faster. This paper describes a novel procedure of hand gesture recognitio

3、n using Principal Component Analysis (PCA) implemented in FPGA Simulator. The simulation was done using co-simulation tool of Simulink with Xilinx System Generator (XSG). Hardware-Software co-simulation is a good methodology which assures accurate and rapid prototyping leading to faster simulation t

4、imes for heterogeneous systems design. Total processing time for the designed hardware was found to be 530 ns using FPGA having the operating frequency of 100 MHz. Keywords: PCA; Hand gestures recognition ;FPGA; Operating frequency; System clock 1. Introduction These days Hand gesture is a common wa

5、y to handle mobile phones, gadgets etc but computers still have a long way to go before they can interact with users in a truly natural fashion. The most natural way to interact with a computer from a users perspective would be that computer understands all natural gestures. Its already two decades

6、passed since the development of input devices, but there have not been many changes to initial prototypes; so people often nd the interaction with computers an uncomfortable experience. The technology should adapt computers to our natural means of communication. The means of communicating with computers at the moment are limited to a keyboard, mouse, light pen, trackball, keypad etc. These devices have grown to be familiar but inherently limit the speed and naturalness with which one inter