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Design and Implementation of Number Gesture Recognition System Based on Kinect

机译:基于Kinect的数字手势识别系统的设计与实现。

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The paper designs a number gesture recognition system based on Kinect. The system uses the depth image captured by Kinect sensor to extract gesture information for recognition. In the process of recognition, the AdaBoost algorithm in machine learning is adopted firstly, by the help of Visual Gesture Builder to train the number gesture classifier,and export the classifiers to the recognition program to recognize the current gesture. Finally, numbers are outputted according to the recognized gesture, and the basic functions of number gesture recognition system are realized. Through the experimental verification, the recognition system has enough accuracy, and the system is suitable for various factors such as environment, personnel, etc., which has a certain practical value.
机译:本文设计了一种基于Kinect的数字手势识别系统。该系统使用Kinect传感器捕获的深度图像提取手势信息以进行识别。在识别过程中,首先采用机器学习中的AdaBoost算法,借助Visual Gesture Builder训练数字手势分类器,并将分类器导出到识别程序中以识别当前手势。最后,根据识别出的手势输出数字,实现数字手势识别系统的基本功能。通过实验验证,该识别系统具有足够的准确性,适用于环境,人员等多种因素,具有一定的实用价值。

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