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Real Time FPGA Implementation of Hand Gesture Recognizer System

机译：手势识别器系统的实时FPGA实现

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摘要

This paper describes the design and implementation of the hand gesture recognizer system for controlling the hardware appliance in real time. FPGA based implementation proposed for hand tracking system includes the image preprocessing state and feature extraction state that consists of bounding box and Center-Of-Mass based computation. Through the features extraction state, the object's Center-Of-Mass and bounding box attributes are extracted to be applied for gesture sign classification. The main modules in this image processing system employ the developed system exploits the parallelism architecture of the FPGA to achieve real time processing. Essentially, the hand gesture recognizer system design have several essential features: (1) Hand tracking system, (2) Gesture classification and (3) Support real time processing.
机译：本文描述了用于实时控制硬件设备的手势识别器系统的设计和实现。为手部跟踪系统建议的基于FPGA的实现包括图像预处理状态和特征提取状态，该状态由包围盒和基于质心的计算组成。通过特征提取状态，提取对象的“重心”和边界框属性，以将其应用于手势符号分类。该图像处理系统中的主要模块采用开发的系统，利用FPGA的并行架构来实现实时处理。本质上，手势识别器系统设计具有几个基本特征：（1）手跟踪系统；（2）手势分类；（3）支持实时处理。

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