Dataset.zip (1.11 GB)
Dataset for Air-writing recognition based on Ultra-wide band Radar Sensor
Version 2 2022-07-05, 05:51
Version 1 2022-07-05, 05:48
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posted on 2022-07-05, 05:51 authored by Nermine HendyNermine Hendy, Haytham Fayek, Akram Al-HouraniDataset for Air-writing recognition based on Ultrawideband Radar Sensor (Xethru X4-M03 from Novelda). The collected dataset includes air-written numbers from 0 to 9 using a uni-stroke writing technique. The Dataset contains 4 sub-folders and a MATLAB script. The dataset ia provided in CSV, MAT, and PNG formats.
Please read the attached Dataset Description pdf file to understand the radar dataset collection setup, the included folders, the data format, and how to use the data for the air-writing recognition application.
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Air-WritingRadar signal processingDeep Learning Applicationsdeep learning datasetXethru X4-M03ultra-wide band radarhand gesture recognitionAir-writing recognitionRange-Dopplersignal processing technologyradar signal processingmachine LearningNeural NetworkFast Fourier transform (FFT)Digital electronic devicesElectronic device and system performance evaluation, testing and simulationElectronic sensorsElectronics, sensors and digital hardware not elsewhere classifiedRadio frequency engineering
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