Full Body Three Dimensional Joint Angles Validation Using TEA Ergo Inertial Measurement Units

被引：8

作者：

Peeters, Thomas ^{[1
]}

Verwulgen, Stijn ^{[1
]}

Garimella, Raman ^{[1
,2
]}

Beyers, Koen ^{[2
]}

Truijen, Steven ^{[3
]}

机构：

[1] Univ Antwerp, Fac Design Sci, Dept Prod Dev, Antwerp, Belgium

[2] Voxdale, Bijkhoevelaan 32C, B-2110 Wijnegem, Belgium

[3] Univ Antwerp, Fac Med & Hlth Sci, Rehabil & Physiotherapy, Antwerp, Belgium

来源：

HUMAN SYSTEMS ENGINEERING AND DESIGN, IHSED2018 | 2019年 / 876卷

关键词：

Motion capture; Human joint angles; Inertial measurement unit; SYSTEM;

D O I：

10.1007/978-3-030-02053-8_133

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Current literature shows the interesting opportunities of inertial measurement units (IMUs) for outdoor motion capturing. This study validated the accuracy of the TEA ergo IMU for full body joint angles tracking in diverse activities. One subject performed three exercises, consisting of a gait pattern, limb movements and cyclical arm movements. Comparison is Vicon infrared markers. For walking, the average root mean square error (RMSE) is 1.9 degrees for flexion/extension, 2.6 degrees for abduction/adduction and 3.7 degrees for rotation angles. The accuracy of the IMU decreases for fast and complicated limb movements (RMSE <= 8.0 degrees). However, these values are still acceptable, which demonstrates the applicability of the IMUs for use in various domains.

引用

页码：879 / 884

页数：6

共 50 条

[31] Analysis of two methods indicating the shoulder joint angles using three dimensional data
Skublewska-Paszkowska, Maria
Dekundy, Michal
Lukasik, Edyta
Smolka, Jakub
PHYSICAL ACTIVITY REVIEW, 2018, 6 : 37 - 44
[32] The validation of a low-cost inertial measurement unit system to quantify simple and complex upper-limb joint angles
Goreham, Joshua A.
Ladouceur, Michel
Maclean, Kathleem F. E.
JOURNAL OF BIOMECHANICS, 2022, 134
[33] CNN-Based Intention Recognition Using Body-Worn Inertial Measurement Units
Bajraktari, Flake
Rosskopf, Nikolas
Pott, Peter P.
2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS, 2023, : 760 - 765
[34] Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed
Becker, Eliza
Khaksar, Siavash
Booker, Harry
Hill, Kylie
Ren, Yifei
Tan, Tele
Watson, Carol
Wordsworth, Ethan
Harrold, Meg
SENSORS, 2025, 25 (02)
[35] Monitoring of Hip and Knee Joint Angles Using a Single Inertial Measurement Unit During Lower Limb Rehabilitation
Bonnet, Vincent
Joukov, Vladimir
Kulic, Dana
Fraisse, Philippe
Ramdani, Nacim
Venture, Gentiane
IEEE SENSORS JOURNAL, 2016, 16 (06) : 1557 - 1564
[36] Portable Gait Lab: Instantaneous centre of mass velocity using three inertial measurement units
Refai, Mohamed Irfan Mohamed
Van Beijnum, Bert-Jan F.
Buurket, Jaap H.
Veltink, Peter H.
2020 IEEE SENSORS, 2020,
[37] Full-Body Locomotion Reconstruction of Virtual Characters Using a Single Inertial Measurement Unit
Mousas, Christos
SENSORS, 2017, 17 (11)
[38] Assessing the effects of sway-back posture on global and regional spinal sagittal angles using inertial measurement units
Shin, Sun-Shil
An, Duk-Hyun
Yoo, Won-Gyu
JOURNAL OF BACK AND MUSCULOSKELETAL REHABILITATION, 2023, 36 (03) : 661 - 667
[39] Instrumented Ergonomic Risk Assessment Using Wearable Inertial Measurement Units: Impact of Joint Angle Convention
Humadi, Ahmed
Nazarahari, Milad
Ahmad, Rafiq
Rouhani, Hossein
IEEE ACCESS, 2021, 9 : 7293 - 7305
[40] Using Magneto-Inertial Measurement Units to Pervasively Measure Hip Joint Motion during Sports
Horenstein, Rachel E.
Goudeau, Yohann R.
Lewis, Cara L.
Shefelbine, Sandra J.
SENSORS, 2020, 20 (17) : 1 - 19

← 1 2 3 4 5 →