Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation
The estimation of the body’s center of mass (CoM) trajectory is typically obtained using force platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory setting. The use of magneto-inertial measurement units (MIMUs) allows for more ecological evaluations, and previous st...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/2/601 |
| _version_ | 1797410799108489216 |
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| author | Marco Germanotta Ilaria Mileti Ilaria Conforti Zaccaria Del Prete Irene Aprile Eduardo Palermo |
| author_facet | Marco Germanotta Ilaria Mileti Ilaria Conforti Zaccaria Del Prete Irene Aprile Eduardo Palermo |
| author_sort | Marco Germanotta |
| collection | DOAJ |
| description | The estimation of the body’s center of mass (CoM) trajectory is typically obtained using force platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory setting. The use of magneto-inertial measurement units (MIMUs) allows for more ecological evaluations, and previous studies proposed methods based on either a single sensor or a sensors’ network. In this study, we compared the accuracy of two methods based on MIMUs. Body CoM was estimated during six postural tasks performed by 15 healthy subjects, using data collected by a single sensor on the pelvis (Strapdown Integration Method, SDI), and seven sensors on the pelvis and lower limbs (Biomechanical Model, BM). The accuracy of the two methods was compared in terms of RMSE and estimation of posturographic parameters, using an OS as reference. The RMSE of the SDI was lower in tasks with little or no oscillations, while the BM outperformed in tasks with greater CoM displacement. Moreover, higher correlation coefficients were obtained between the posturographic parameters obtained with the BM and the OS. Our findings showed that the estimation of CoM displacement based on MIMU was reasonably accurate, and the use of the inertial sensors network methods should be preferred to estimate the kinematic parameters. |
| first_indexed | 2024-03-09T04:35:27Z |
| format | Article |
| id | doaj.art-f9264140bbb944ddb71e0d51f287f4ba |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T04:35:27Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f9264140bbb944ddb71e0d51f287f4ba2023-12-03T13:30:05ZengMDPI AGSensors1424-82202021-01-0121260110.3390/s21020601Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy EvaluationMarco Germanotta0Ilaria Mileti1Ilaria Conforti2Zaccaria Del Prete3Irene Aprile4Eduardo Palermo5IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, ItalyDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00185 Roma, ItalyDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00185 Roma, ItalyDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00185 Roma, ItalyIRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, ItalyDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00185 Roma, ItalyThe estimation of the body’s center of mass (CoM) trajectory is typically obtained using force platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory setting. The use of magneto-inertial measurement units (MIMUs) allows for more ecological evaluations, and previous studies proposed methods based on either a single sensor or a sensors’ network. In this study, we compared the accuracy of two methods based on MIMUs. Body CoM was estimated during six postural tasks performed by 15 healthy subjects, using data collected by a single sensor on the pelvis (Strapdown Integration Method, SDI), and seven sensors on the pelvis and lower limbs (Biomechanical Model, BM). The accuracy of the two methods was compared in terms of RMSE and estimation of posturographic parameters, using an OS as reference. The RMSE of the SDI was lower in tasks with little or no oscillations, while the BM outperformed in tasks with greater CoM displacement. Moreover, higher correlation coefficients were obtained between the posturographic parameters obtained with the BM and the OS. Our findings showed that the estimation of CoM displacement based on MIMU was reasonably accurate, and the use of the inertial sensors network methods should be preferred to estimate the kinematic parameters.https://www.mdpi.com/1424-8220/21/2/601CoM displacementIMUsbalanceposturographyhuman kinematic measurement |
| spellingShingle | Marco Germanotta Ilaria Mileti Ilaria Conforti Zaccaria Del Prete Irene Aprile Eduardo Palermo Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation Sensors CoM displacement IMUs balance posturography human kinematic measurement |
| title | Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation |
| title_full | Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation |
| title_fullStr | Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation |
| title_full_unstemmed | Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation |
| title_short | Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation |
| title_sort | estimation of human center of mass position through the inertial sensors based methods in postural tasks an accuracy evaluation |
| topic | CoM displacement IMUs balance posturography human kinematic measurement |
| url | https://www.mdpi.com/1424-8220/21/2/601 |
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