Abstract
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.
Highlights
This dataset contains complex signals coming from a mmWave Frequency Modulated Continuous Wave (FMCW) radar system
This dataset contains complex signals coming from a mmWave FMCW radar system
The subjects walk without any constraint or do not follow any pattern, making this dataset useful for human gait recognition and to evaluate the performance of different radar data processing algorithms
Summary
The dataset provides data from mmWave Frequency Modulated Continuous Wave (FMCW) radar used during a measurement campaign. Tests are performed on walking people who walk in different ways in front of the radar system along a hallway without any furniture or obstacle. The repository is divided into two parts. The first one contains all the data collected during the experiments described in [1]. The second part of the dataset contains data related to different activities, performed in the same test area, which have not been considered in [1].
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