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作者:

Zhong, Wenjuan (Zhong, Wenjuan.) | Zhang, Lei (Zhang, Lei.) | Sun, Zhongbo (Sun, Zhongbo.) | Dong, Mingjie (Dong, Mingjie.) | Zhang, Mingming (Zhang, Mingming.)

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EI Scopus SCIE

摘要:

While inertial measurement unit (IMU)-based motion capture (MoCap) systems have been gaining popularity for human movement analysis, they still suffer from long-term positioning errors due to accumulated drift and inefficient data transmission via Wi-Fi or Bluetooth. To address this problem, this study introduces an integrated ultrawideband (UWB)-IMU system, named UI-MoCap, designed for simultaneous 3D positioning as well as wireless IMU data transmission through UWB pulses. The UI-MoCap comprises mobile UWB tags and hardware-synchronized UWB base stations. Each UWB tag, a compact circular PCB with a 3.4cm diameter, houses a nine-axis IMU unit and a UWB transceiver for data transmission. The base stations are equipped with a UWB transceiver and an Ethernet controller, ensuring efficient reception and management of messages from multiple tags. Experiments were conducted to evaluate the system's validity and reliability of 3D positioning and IMU data transmission. The results demonstrate that UI-MoCap achieves centimeter-level 3D positioning accuracy and maintains consistent positioning performance over time. Moreover, UI-MoCap exhibits high update rates and a minimal packet loss rate for IMU data transmission, significantly outperforming Wi-Fi-based transmission techniques. Future work will explore the fusion of UWB and IMU technologies to further enhance positioning performance, with a focus on human movement analysis and rehabilitation applications.

关键词:

Ultra wideband technology Wireless fidelity Wireless communication ultrawideband (UWB) Three-dimensional displays Base stations position detection Data communication inertial measurement unit (IMU) Time difference of arrival Motion capture technology

作者机构:

  • [ 1 ] [Zhong, Wenjuan]Southern Univ Sci & Technol, Coll Engn, Dept Biomed Engn, Shenzhen Key Lab Smart Healthcare Engn, Shenzhen 518055, Peoples R China
  • [ 2 ] [Zhang, Lei]Southern Univ Sci & Technol, Coll Engn, Dept Biomed Engn, Shenzhen Key Lab Smart Healthcare Engn, Shenzhen 518055, Peoples R China
  • [ 3 ] [Zhang, Mingming]Southern Univ Sci & Technol, Coll Engn, Dept Biomed Engn, Shenzhen Key Lab Smart Healthcare Engn, Shenzhen 518055, Peoples R China
  • [ 4 ] [Sun, Zhongbo]Changchun Univ Technol, Dept Control Engn, Changchun 130012, Peoples R China
  • [ 5 ] [Dong, Mingjie]Beijing Univ Technol, Fac Mat & Mfg, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

通讯作者信息:

  • [Zhang, Mingming]Southern Univ Sci & Technol, Coll Engn, Dept Biomed Engn, Shenzhen Key Lab Smart Healthcare Engn, Shenzhen 518055, Peoples R China;;[Dong, Mingjie]Beijing Univ Technol, Fac Mat & Mfg, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China;;

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来源 :

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

ISSN: 1534-4320

年份: 2024

卷: 32

页码: 1034-1044

4 . 9 0 0

JCR@2022

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WoS核心集被引频次:

SCOPUS被引频次: 7

ESI高被引论文在榜: 0 展开所有

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