Volume 14 Issue 1
Jan.  2025
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Article Navigation >  Journal of Radars  > 2025  >  14(1): 16-27
LI Kemeng, DAI Yongpeng, SONG Yongping, et al. Single-channel ultrawideband radar human pose-incremental estimation technology[J]. Journal of Radars, 2025, 14(1): 16–27. doi: 10.12000/JR24109
Citation: LI Kemeng, DAI Yongpeng, SONG Yongping, et al. Single-channel ultrawideband radar human pose-incremental estimation technology[J]. Journal of Radars, 2025, 14(1): 16–27. doi: 10.12000/JR24109
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Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology

DOI: 10.12000/JR24109 CSTR: 32380.14.JR24109
  • 1.

    College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

  • 2.

    School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, China

Funds:  The National Natural Science Foundation of China (61971430)
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    Abstract
  • This study focuses on integrating optical and radar sensors for human pose estimation. Based on the physical correspondence between the continuous-time micromotion accumulation and pose increment, a single-channel ultra-wideband radar human pose-incremental estimation scheme is proposed. Specifically, by constructing a spatiotemporal incremental estimation network, using spatiotemporal pseudo-3D convolutional and time-domain-dilated convolutional layers to extract spatiotemporal micromotion features step by step, mapping these features to human pose increments within a time period, and combining them with the initial pose values provided by optics, we can realize a 3D pose estimation of the human body. The measured data results show that fusion attitude estimation achieves an estimation error of 5.38 cm in the original action set and can achieve continuous attitude estimation for the period of walking actions. Comparison and ablation experiments with other radar attitude estimation methods demonstrate the advantages of the proposed method.

     

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    • References(26)
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