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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7358722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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