• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用工业机器人对三维空间无线惯性测量单元进行验证。

Validation of 3-Space Wireless Inertial Measurement Units Using an Industrial Robot.

作者信息

Hislop Jaime, Isaksson Mats, McCormick John, Hensman Chris

机构信息

Department of Mechanical Engineering and Product Design Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.

Centre for Transformative Media Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.

出版信息

Sensors (Basel). 2021 Oct 15;21(20):6858. doi: 10.3390/s21206858.

DOI:10.3390/s21206858
PMID:34696071
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8537168/
Abstract

Inertial Measurement Units (IMUs) are beneficial for motion tracking as, in contrast to most optical motion capture systems, IMU systems do not require a dedicated lab. However, IMUs are affected by electromagnetic noise and may exhibit drift over time; it is therefore common practice to compare their performance to another system of high accuracy before use. The 3-Space IMUs have only been validated in two previous studies with limited testing protocols. This study utilized an IRB 2600 industrial robot to evaluate the performance of the IMUs for the three sensor fusion methods provided in the 3-Space software. Testing consisted of programmed motion sequences including 360° rotations and linear translations of 800 mm in opposite directions for each axis at three different velocities, as well as static trials. The magnetometer was disabled to assess the accuracy of the IMUs in an environment containing electromagnetic noise. The Root-Mean-Square Error (RMSE) of the sensor orientation ranged between 0.2° and 12.5° across trials; average drift was 0.4°. The performance of the three filters was determined to be comparable. This study demonstrates that the 3-Space sensors may be utilized in an environment containing metal or electromagnetic noise with a RMSE below 10° in most cases.

摘要

惯性测量单元(IMU)有利于运动跟踪,因为与大多数光学运动捕捉系统不同,IMU系统不需要专门的实验室。然而,IMU会受到电磁噪声的影响,并且可能随时间出现漂移;因此,在使用前将其性能与另一个高精度系统进行比较是常见的做法。3-Space IMU仅在之前的两项研究中得到验证,且测试方案有限。本研究利用一台IRB 2600工业机器人,针对3-Space软件中提供的三种传感器融合方法评估IMU的性能。测试包括编程运动序列,其中每个轴在三种不同速度下进行360°旋转和沿相反方向800毫米的线性平移,以及静态试验。在包含电磁噪声的环境中,禁用磁力计以评估IMU的准确性。在所有试验中,传感器方向的均方根误差(RMSE)在0.2°至12.5°之间;平均漂移为0.4°。确定三种滤波器的性能具有可比性。本研究表明,在大多数情况下,3-Space传感器可用于包含金属或电磁噪声的环境,其RMSE低于10°。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/f56d13aa0590/sensors-21-06858-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/90bbec67ef4c/sensors-21-06858-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/2f833c4d9eef/sensors-21-06858-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/d7559ed6d714/sensors-21-06858-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/100de4767762/sensors-21-06858-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/e21c4e2b1753/sensors-21-06858-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/f56d13aa0590/sensors-21-06858-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/90bbec67ef4c/sensors-21-06858-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/2f833c4d9eef/sensors-21-06858-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/d7559ed6d714/sensors-21-06858-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/100de4767762/sensors-21-06858-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/e21c4e2b1753/sensors-21-06858-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d272/8537168/f56d13aa0590/sensors-21-06858-g006.jpg

相似文献

1
Validation of 3-Space Wireless Inertial Measurement Units Using an Industrial Robot.使用工业机器人对三维空间无线惯性测量单元进行验证。
Sensors (Basel). 2021 Oct 15;21(20):6858. doi: 10.3390/s21206858.
2
Shoulder Range of Motion Measurement Using Inertial Measurement Unit-Validation with a Robot Arm.使用惯性测量单元测量肩部活动范围 - 与机械臂的验证。
Sensors (Basel). 2023 Jun 6;23(12):5364. doi: 10.3390/s23125364.
3
Static and dynamic validation of inertial measurement units.惯性测量单元的静态和动态验证
Gait Posture. 2017 Sep;57:80-84. doi: 10.1016/j.gaitpost.2017.05.026. Epub 2017 May 26.
4
Concurrent validity and within-session reliability of gait kinematics measured using an inertial motion capture system with repeated calibration.使用经过多次校准的惯性运动捕捉系统测量步态运动学的同时效度和会话内可靠性。
J Bodyw Mov Ther. 2020 Oct;24(4):251-260. doi: 10.1016/j.jbmt.2020.06.008. Epub 2020 Aug 4.
5
IMU Motion Capture Method with Adaptive Tremor Attenuation in Teleoperation Robot System.遥操作机器人系统中具有自适应震颤衰减的 IMU 运动捕捉方法。
Sensors (Basel). 2022 Apr 27;22(9):3353. doi: 10.3390/s22093353.
6
On Inertial Body Tracking in the Presence of Model Calibration Errors.存在模型校准误差时的惯性人体跟踪
Sensors (Basel). 2016 Jul 22;16(7):1132. doi: 10.3390/s16071132.
7
Dynamic accuracy of inertial measurement units during simple pendulum motion.单摆运动期间惯性测量单元的动态精度。
Comput Methods Biomech Biomed Engin. 2008 Jun;11(3):235-42. doi: 10.1080/10255840802125526.
8
IMU/UWB Fusion Method Using a Complementary Filter and a Kalman Filter for Hybrid Upper Limb Motion Estimation.一种使用互补滤波器和卡尔曼滤波器的IMU/UWB融合方法用于混合上肢运动估计
Sensors (Basel). 2023 Jul 26;23(15):6700. doi: 10.3390/s23156700.
9
Variations in Concurrent Validity of Two Independent Inertial Measurement Units Compared to Gold Standard for Upper Body Posture during Computerised Device Use.两种独立惯性测量单元与计算机设备使用期间上半身姿势金标准的同时效度比较的变异性。
Sensors (Basel). 2023 Jul 28;23(15):6761. doi: 10.3390/s23156761.
10
Conversion of Upper-Limb Inertial Measurement Unit Data to Joint Angles: A Systematic Review.上肢惯性测量单元数据到关节角度的转换:系统评价。
Sensors (Basel). 2023 Jul 19;23(14):6535. doi: 10.3390/s23146535.

引用本文的文献

1
Time and Frequency Domain Analysis of IMU-Based Orientation Estimation Algorithms with Comparison to Robotic Arm Orientation as Reference.基于惯性测量单元(IMU)的姿态估计算法的时域和频域分析,并与作为参考的机器人手臂姿态进行比较。
Sensors (Basel). 2025 Aug 20;25(16):5161. doi: 10.3390/s25165161.
2
A Robust Method for Validating Orientation Sensors Using a Robot Arm as a High-Precision Reference.一种使用机器人手臂作为高精度参考来验证方向传感器的稳健方法。
Sensors (Basel). 2024 Dec 21;24(24):8179. doi: 10.3390/s24248179.
3
Upper limb movement quality measures: comparing IMUs and optical motion capture in stroke patients performing a drinking task.

本文引用的文献

1
Objective assessment of surgeon kinematics during simulated laparoscopic surgery: a preliminary evaluation of the effect of high body mass index models.模拟腹腔镜手术中外科医生运动学的客观评估:高身体质量指数模型影响的初步评估。
Int J Comput Assist Radiol Surg. 2022 Jan;17(1):75-83. doi: 10.1007/s11548-021-02455-5. Epub 2021 Jul 24.
2
Validation of a low-cost inertial motion capture system for whole-body motion analysis.验证一种低成本的惯性运动捕捉系统在全身运动分析中的应用。
J Biomech. 2020 Jan 23;99:109520. doi: 10.1016/j.jbiomech.2019.109520. Epub 2019 Nov 18.
3
Validation of inertial measurement units with optical tracking system in patients operated with Total hip arthroplasty.
上肢运动质量测量:比较中风患者在执行饮水任务时惯性测量单元(IMU)和光学动作捕捉技术
Front Digit Health. 2024 Mar 28;6:1359776. doi: 10.3389/fdgth.2024.1359776. eCollection 2024.
4
Adaptive Lifting Index () for Real-Time Instrumental Biomechanical Risk Assessment: Concepts, Mathematics, and First Experimental Results.用于实时器械生物力学风险评估的自适应提升指数():概念、数学及初步实验结果
Sensors (Basel). 2024 Feb 24;24(5):1474. doi: 10.3390/s24051474.
5
Shoulder Range of Motion Measurement Using Inertial Measurement Unit-Validation with a Robot Arm.使用惯性测量单元测量肩部活动范围 - 与机械臂的验证。
Sensors (Basel). 2023 Jun 6;23(12):5364. doi: 10.3390/s23125364.
6
Benchmarking Dataset of Signals from a Commercial MEMS Magnetic-Angular Rate-Gravity (MARG) Sensor Manipulated in Regions with and without Geomagnetic Distortion.商业 MEMS 磁角度速率-重力 (MARG) 传感器在存在和不存在地磁干扰的区域中操纵的信号基准数据集。
Sensors (Basel). 2023 Apr 7;23(8):3786. doi: 10.3390/s23083786.
全髋关节置换术后患者中惯性测量单元与光学跟踪系统的验证
BMC Musculoskelet Disord. 2019 Feb 6;20(1):52. doi: 10.1186/s12891-019-2416-4.
4
Octopus: A Design Methodology for Motion Capture Wearables.章鱼:运动捕捉可穿戴设备的设计方法。
Sensors (Basel). 2017 Aug 15;17(8):1875. doi: 10.3390/s17081875.
5
A novel functional calibration method for real-time elbow joint angles estimation with magnetic-inertial sensors.一种用于利用磁惯性传感器实时估计肘关节角度的新型功能校准方法。
J Biomech. 2017 Mar 21;54:106-110. doi: 10.1016/j.jbiomech.2017.01.024. Epub 2017 Jan 30.
6
Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis.使用光电系统对惯性测量单元进行全身运动分析的验证。
Med Biol Eng Comput. 2017 Apr;55(4):609-619. doi: 10.1007/s11517-016-1537-2. Epub 2016 Jul 5.
7
Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics.下肢关节角度运动学的 Xsens MVN 测量的同期验证。
Physiol Meas. 2013 Aug;34(8):N63-9. doi: 10.1088/0967-3334/34/8/N63. Epub 2013 Jul 26.
8
Estimation of IMU and MARG orientation using a gradient descent algorithm.使用梯度下降算法估计惯性测量单元(IMU)和微型姿态参考系统(MARG)的方向。
IEEE Int Conf Rehabil Robot. 2011;2011:5975346. doi: 10.1109/ICORR.2011.5975346.
9
Surgeons' static posture and movement repetitions in open and laparoscopic surgery.外科医生在开放式和腹腔镜手术中的静态姿势和动作重复。
J Surg Res. 2012 Jan;172(1):e19-31. doi: 10.1016/j.jss.2011.08.004. Epub 2011 Aug 29.
10
First in vivo assessment of "Outwalk": a novel protocol for clinical gait analysis based on inertial and magnetic sensors.基于惯性和磁传感器的新型临床步态分析方案“Outwalk”的首次体内评估。
Med Biol Eng Comput. 2010 Jan;48(1):1-15. doi: 10.1007/s11517-009-0544-y. Epub 2009 Nov 13.