RF-Driven Crowd-Size Classif i cation via Machine Learning

Tarciana Cabral de Brito Guerra,Pedro Maia de Santana,Millena Michely de Medeiros Campos,Mateus de Oliveira Mattos,Alvaro A. M. de Medeiros,Vicente Angelo de Sousa

IEEE Antennas and Wireless Propagation Letters（2019）

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摘要

In this letter, we propose a machine learning solution for crowd-size classification in an indoor environment. Narrow-band radio frequency signals are used to identify a pattern according to the number of people. Experimental data collected by a low-cost software-defined radio platform are postprocessed by applying a feature mapping along with the random forest technique for classifying the crowd-...

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关键词

Machine learning,Radio frequency,Feature extraction,Entropy,Wireless communication,Data collection,Antenna measurements

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