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    <identifier>10.57760/sciencedb.j00001.00827</identifier>
    <datestamp>2023-09-27T15:05:27Z</datestamp>
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  <dc:date>2023-09-27</dc:date>
  <dc:title>A dataset of human action recognition and heart rate estimation based on Impulse-Radio Ultra-Wideband radar</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00001.00827</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset was collected using Impulse-Radio Ultra-Wideband radar in typical indoor scenarios, with a collection time range of 2021-2023. This dataset collected a total of 1629 sets of motion recognition data for 10 human targets, including unmanned scene data and 10 common actions such as walking, waving, and squatting, as well as 4670 sets of heart rate estimation data, which can provide good data support for related research. This dataset contains a total of 2 data files in the format of .mat files, which can be opened using mathematical software MATLAB. Among them, the human motion recognition dataset_HumanAction.mat contains three variables: raw echo data Data, data label Label, and data description Description; Heart rate estimation dataset_HeartRate.mat contains two variables: raw echo data and heart rate reference value HeartRate_Ref.&amp;nbsp;</dc:description>
  <dc:subject>IR-UWB radar; Indoor scene; Human action recognition; Heart rate estimation; Smart health; Dataset</dc:subject>
  <dc:creator>ZHENG Mingkai</dc:creator>
  <dc:creator>RAO Bin</dc:creator>
  <dc:creator>WANG Wei</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.57760/sciencedb.j00001.00827</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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