A Method for Calculating Lower Extremity Anatomical Landmark Trajectories Based on Inertial Motion Capture Data
Anatomical landmark trajectories are commonly used to define joint coordinate systems in human kinematic analysis according to standards proposed by the International Society of Biomechanics (ISB). However, most inertial motion capture (IMC) studies focus only on joint angle measurement, which limit...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10151907/ |
| _version_ | 1827381141912420352 |
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| author | Zhengtao Wang Fei Gao Zihao Wu Dongmei Wang Xin Guo Suiran Yu |
| author_facet | Zhengtao Wang Fei Gao Zihao Wu Dongmei Wang Xin Guo Suiran Yu |
| author_sort | Zhengtao Wang |
| collection | DOAJ |
| description | Anatomical landmark trajectories are commonly used to define joint coordinate systems in human kinematic analysis according to standards proposed by the International Society of Biomechanics (ISB). However, most inertial motion capture (IMC) studies focus only on joint angle measurement, which limits its application. Therefore, this paper proposes a new method to calculate the trajectories of anatomical landmarks based on IMC data. The accuracy and reliability of this method were investigated by comparative analysis based on measurement data from 16 volunteers. The results showed that the accuracy of anatomical landmark trajectories was 23.4 to 57.3 mm, about 5.9% to 7.6% of the segment length, the orientation accuracy was about 3.3° to 8.1°, less than 8.6% of the range of motion (ROM), using optical motion capture results as the gold standard. Furthermore, the accuracy of this method is are similar to that of Xsens MVN, a commercial IMC system. The results also show that the algorithm allows for more in-depth motion analysis based on IMC data, and the output format is more versatile. |
| first_indexed | 2024-03-08T13:51:53Z |
| format | Article |
| id | doaj.art-0ba38f982a70484eb68565021125b238 |
| institution | Directory Open Access Journal |
| issn | 1558-0210 |
| language | English |
| last_indexed | 2024-03-08T13:51:53Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj.art-0ba38f982a70484eb68565021125b2382024-01-16T00:00:09ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1558-02102023-01-01312734274610.1109/TNSRE.2023.328592410151907A Method for Calculating Lower Extremity Anatomical Landmark Trajectories Based on Inertial Motion Capture DataZhengtao Wang0https://orcid.org/0000-0001-5003-2869Fei Gao1Zihao Wu2Dongmei Wang3https://orcid.org/0000-0002-4478-3022Xin Guo4https://orcid.org/0000-0002-9137-909XSuiran Yu5https://orcid.org/0000-0003-3689-0888School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin, ChinaSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaAnatomical landmark trajectories are commonly used to define joint coordinate systems in human kinematic analysis according to standards proposed by the International Society of Biomechanics (ISB). However, most inertial motion capture (IMC) studies focus only on joint angle measurement, which limits its application. Therefore, this paper proposes a new method to calculate the trajectories of anatomical landmarks based on IMC data. The accuracy and reliability of this method were investigated by comparative analysis based on measurement data from 16 volunteers. The results showed that the accuracy of anatomical landmark trajectories was 23.4 to 57.3 mm, about 5.9% to 7.6% of the segment length, the orientation accuracy was about 3.3° to 8.1°, less than 8.6% of the range of motion (ROM), using optical motion capture results as the gold standard. Furthermore, the accuracy of this method is are similar to that of Xsens MVN, a commercial IMC system. The results also show that the algorithm allows for more in-depth motion analysis based on IMC data, and the output format is more versatile.https://ieeexplore.ieee.org/document/10151907/Inertial motion captureanatomical landmarkjoint coordinate systemkinematic analysisorientation correction |
| spellingShingle | Zhengtao Wang Fei Gao Zihao Wu Dongmei Wang Xin Guo Suiran Yu A Method for Calculating Lower Extremity Anatomical Landmark Trajectories Based on Inertial Motion Capture Data IEEE Transactions on Neural Systems and Rehabilitation Engineering Inertial motion capture anatomical landmark joint coordinate system kinematic analysis orientation correction |
| title | A Method for Calculating Lower Extremity Anatomical Landmark Trajectories Based on Inertial Motion Capture Data |
| title_full | A Method for Calculating Lower Extremity Anatomical Landmark Trajectories Based on Inertial Motion Capture Data |
| title_fullStr | A Method for Calculating Lower Extremity Anatomical Landmark Trajectories Based on Inertial Motion Capture Data |
| title_full_unstemmed | A Method for Calculating Lower Extremity Anatomical Landmark Trajectories Based on Inertial Motion Capture Data |
| title_short | A Method for Calculating Lower Extremity Anatomical Landmark Trajectories Based on Inertial Motion Capture Data |
| title_sort | method for calculating lower extremity anatomical landmark trajectories based on inertial motion capture data |
| topic | Inertial motion capture anatomical landmark joint coordinate system kinematic analysis orientation correction |
| url | https://ieeexplore.ieee.org/document/10151907/ |
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