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...

Full description

Saved in:
Bibliographic Details
Published inData in brief Vol. 31; p. 105996
Main Authors Gambi, Ennio, Ciattaglia, Gianluca, De Santis, Adelmo, Senigagliesi, Linda
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.08.2020
Elsevier
Subjects
Automotive radar
data collection
Engineering
gait
Human gait analysis
humans
Machine learning
mmWave radar
people
radar
Walking analysis
mmWave radar
Walking analysis
Machine learning
Automotive radar
Human gait analysis
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2020.105996