Dataset of continuous human activities performed in arbitrary directions collected with a distributed radar network of five nodes

Please review the document README_v2.pdf<br> The data can be extracted with the MATLAB Live Script dataread.mlx. Referencing the dataset Guendel, Ronny Gerhard; Unterhorst, Matteo; Fioranelli, Francesco; Yarovoy, Alexander (2021): Dataset of continuous human activities performed in arbitrary directions collected with a distributed radar network of five nodes. 4TU.ResearchData. Dataset. https://doi.org/10.4121/16691500.v3 <br> <pre><code><strong>@misc</strong>{Guendel2022, </code></pre> <pre><code>author = "Ronny Gerhard Guendel and Matteo Unterhorst and Francesco Fioranelli and Alexander Yarovoy", </code></pre> <pre><code>title = "{Dataset of continuous human activities performed in arbitrary directions collected with a distributed radar network of five nodes}", </code></pre> <pre><code>year = "2021", </code></pre> <pre><code>month = "Nov", </code></pre> <pre><code>url = "https://data.4tu.nl/articles/dataset/Dataset_of_continuous_human_activities_performed_in_arbitrary_directions_collected_with_a_distributed_radar_network_of_five_nodes/16691500", </code></pre> <pre><code>doi = "10.4121/16691500.v3" } </code></pre> <br> Paper references are: Guendel, R.G., Fioranelli, F.,Yarovoy, A.: <em>Distributed radar fusion and recurrent networks for classification of continuous human activities</em>. IET Radar Sonar Navig. 1–18 (2022). https://doi.org/10.1049/rsn2.12249 <br> R. G. Guendel, F. Fioranelli and A. Yarovoy, "<em>Evaluation Metrics for Continuous Human Activity Classification Using Distributed Radar Networks</em>," 2022 IEEE Radar Conference (RadarConf22), 2022, pp. 1-6, doi: 10.1109/RadarConf2248738.2022.9764181. <br> R. G. Guendel, M. Unterhorst, E. Gambi, F. Fioranelli and A. Yarovoy, "<em>Continuous human activity recognition for arbitrary directions with distributed radars</em>," 2021 IEEE Radar Conference (RadarConf21), 2021, pp. 1-6, doi: 10.1109/RadarConf2147009.2021.9454972. <br>

搜集汇总

背景与挑战

背景概述

该数据集包含通过五个节点分布式雷达网络收集的连续人类活动数据，活动方向任意，主要用于人类活动识别（HAR）和机器学习研究，特别是辅助生活分类和微多普勒分析。数据以Matlab格式提供，支持雷达融合和循环网络分类方法的研究，适用于电气与电子工程领域。