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Millimeter wave radar data of people walking

This dataset contains complex signals coming from a mmWave FMCW radar system. Signals were acquired during a measurement campaign taken indoor and aimed to assess people's different ways of walking. Measurement setup and devices are described. The dataset consists of the acquisitions of six dif...

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Detalles Bibliográficos
Autores principales: Gambi, Ennio, Ciattaglia, Gianluca, De Santis, Adelmo, Senigagliesi, Linda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358722/
https://www.ncbi.nlm.nih.gov/pubmed/32685639
http://dx.doi.org/10.1016/j.dib.2020.105996
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author Gambi, Ennio
Ciattaglia, Gianluca
De Santis, Adelmo
Senigagliesi, Linda
author_facet Gambi, Ennio
Ciattaglia, Gianluca
De Santis, Adelmo
Senigagliesi, Linda
author_sort Gambi, Ennio
collection PubMed
description This dataset contains complex signals coming from a mmWave FMCW radar system. Signals were acquired during a measurement campaign taken indoor and aimed to assess people's different ways of walking. Measurement setup and devices are described. The dataset consists of the acquisitions of six different types of activities, performed by 29 subjects who repeat each activity several times. Therefore, the dataset contains multiple different experiments for each activity, for a total of 231 acquisitions. The subjects walk without any constraint or do not follow any pattern, thus making this dataset useful not only for human gait recognition but also to evaluate the performance of different radar data processing algorithms.
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spelling pubmed-73587222020-07-17 Millimeter wave radar data of people walking Gambi, Ennio Ciattaglia, Gianluca De Santis, Adelmo Senigagliesi, Linda Data Brief Engineering This dataset contains complex signals coming from a mmWave FMCW radar system. Signals were acquired during a measurement campaign taken indoor and aimed to assess people's different ways of walking. Measurement setup and devices are described. The dataset consists of the acquisitions of six different types of activities, performed by 29 subjects who repeat each activity several times. Therefore, the dataset contains multiple different experiments for each activity, for a total of 231 acquisitions. The subjects walk without any constraint or do not follow any pattern, thus making this dataset useful not only for human gait recognition but also to evaluate the performance of different radar data processing algorithms. Elsevier 2020-07-05 /pmc/articles/PMC7358722/ /pubmed/32685639 http://dx.doi.org/10.1016/j.dib.2020.105996 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Gambi, Ennio
Ciattaglia, Gianluca
De Santis, Adelmo
Senigagliesi, Linda
Millimeter wave radar data of people walking
title Millimeter wave radar data of people walking
title_full Millimeter wave radar data of people walking
title_fullStr Millimeter wave radar data of people walking
title_full_unstemmed Millimeter wave radar data of people walking
title_short Millimeter wave radar data of people walking
title_sort millimeter wave radar data of people walking
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358722/
https://www.ncbi.nlm.nih.gov/pubmed/32685639
http://dx.doi.org/10.1016/j.dib.2020.105996
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