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Labview-based human gait recognition system design via deterministic learning

机译:基于LabVIEW的人体步态识别系统设计通过确定性学习

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摘要

In this paper, based on a newly presented approach for human gait recognition via deterministic learning theory, we construct a prototype for gait recognition system, display the recognition process by using the Labview-based platform and improve the recognition speed. Combined with the recognition approach and the characteristics of Labview software, the graphical programming language of Labview achieves application in human gait recognition system. The effectiveness and rapidness of the gait recognition approach under multi-pattern is verified on the NLPR gait database. The recognition speed is improved by using the parallel programming mode of Labview and the multi-core CPU of A840r-H Dawning Server.
机译:在本文中,基于通过确定性学习理论的新呈现的人体步态识别方法,我们构建了一种用于步态识别系统的原型,通过使用基于LabVIEW的平台来显示识别过程并提高识别速度。结合识别方法和LabVIEW软件的特点,LabVIEW的图形编程语言实现了人体步态识别系统的应用。在NLPR步态数据库上验证了多模式下步态识别方法的有效性和快速。通过使用LabVIEW的并行编程模式和A840R-H Dawning服务器的多核CPU的并行编程模式来提高识别速度。

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