Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology
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. Specificall...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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China Science Publishing & Media Ltd. (CSPM)
2025-02-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR24109 |
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| _version_ | 1832591758553251840 |
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| author | Kemeng LI Yongpeng DAI Yongping SONG Xiaolong ZHOU Yongkun SONG Tian JIN |
| author_facet | Kemeng LI Yongpeng DAI Yongping SONG Xiaolong ZHOU Yongkun SONG Tian JIN |
| author_sort | Kemeng LI |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-373d06a9480c42268de00a4516ea3ee4 |
| institution | Kabale University |
| issn | 2095-283X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj-art-373d06a9480c42268de00a4516ea3ee42025-01-22T06:12:25ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2025-02-01141162710.12000/JR24109R24109Single-channel Ultra-wideband Radar Human Pose-incremental Estimation TechnologyKemeng LI0Yongpeng DAI1Yongping SONG2Xiaolong ZHOU3Yongkun SONG4Tian JIN5College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaSchool of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaThis 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.https://radars.ac.cn/cn/article/doi/10.12000/JR24109single-channel ultra-wideband radarhuman pose estimationincremental estimationmicromotion featurescontinuous attitude |
| spellingShingle | Kemeng LI Yongpeng DAI Yongping SONG Xiaolong ZHOU Yongkun SONG Tian JIN Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology Leida xuebao single-channel ultra-wideband radar human pose estimation incremental estimation micromotion features continuous attitude |
| title | Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology |
| title_full | Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology |
| title_fullStr | Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology |
| title_full_unstemmed | Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology |
| title_short | Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology |
| title_sort | single channel ultra wideband radar human pose incremental estimation technology |
| topic | single-channel ultra-wideband radar human pose estimation incremental estimation micromotion features continuous attitude |
| url | https://radars.ac.cn/cn/article/doi/10.12000/JR24109 |
| work_keys_str_mv | AT kemengli singlechannelultrawidebandradarhumanposeincrementalestimationtechnology AT yongpengdai singlechannelultrawidebandradarhumanposeincrementalestimationtechnology AT yongpingsong singlechannelultrawidebandradarhumanposeincrementalestimationtechnology AT xiaolongzhou singlechannelultrawidebandradarhumanposeincrementalestimationtechnology AT yongkunsong singlechannelultrawidebandradarhumanposeincrementalestimationtechnology AT tianjin singlechannelultrawidebandradarhumanposeincrementalestimationtechnology |