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    <identifier>10.57760/sciencedb.41175</identifier>
    <datestamp>2026-07-02T15:44:10Z</datestamp>
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  <dc:date>2026-07-02</dc:date>
  <dc:title>UWB-TWHP:Through-wall 3D Human Pose Estimation Dataset Using UWB Radar</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.41175</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>UWB-TWHP: A 3D through wall human pose estimation dataset based on ultra wideband radar was collected by 15 volunteers, including 8 common human movements and covering multi human scenes of 1 to 3 people. The data acquisition system consists of a self-developed ultra wideband through wall radar and a motion capture system based on optical marker points. The motion capture system synchronously collects three-dimensional skeleton information of the human body with the radar system. The radar data and attitude labels are time aligned through hardware event recording combined with software timestamp matching. The dataset provides compressed radar range profiles and synchronized 3D human skeleton label information, which can be used for wall penetrating human pose reconstruction, motion analysis, and radar signal processing algorithm research.&amp;nbsp;You can obtain detailed information at the following link:&amp;nbsp;1: Dataset Details Page https://github.com/Toby154/UWB-TWHP_Page2: Dataset generation and visualization code https://github.com/Toby154/UWB-TWHP_Post-processing3: Dataset baseline model (including complete training and testing scripts, a trained model, training results, and visualization tools) https://github.com/Toby154/UWB-TWHP_baseline&amp;nbsp;</dc:description>
  <dc:subject>Ultra-Wideband Radar; Through-wall radar; Deep learning; Human Pose Estimation</dc:subject>
  <dc:creator>Dai Yongpeng</dc:creator>
  <dc:creator>Song Yongkun</dc:creator>
  <dc:creator>wang tao</dc:creator>
  <dc:creator>Yan Tianxing</dc:creator>
  <dc:creator>Li Kemeng</dc:creator>
  <dc:creator>Yang Qingrong</dc:creator>
  <dc:creator>Wang Daochang</dc:creator>
  <dc:creator>Jin Tian</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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