Estimation of 3D Knee Joint Angles during Cycling Using Inertial Sensors: Accuracy of a Novel Sensor-to-Segment Calibration Procedure Based on Pedaling Motion
This paper presents a novel sensor-to-segment calibration procedure for inertial sensor-based knee joint kinematics analysis during cycling. This procedure was designed to be feasible in-field, autonomously, and without any external operator or device. It combines a static standing up posture and a...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-05-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/11/2474 |
| _version_ | 1798042952777334784 |
|---|---|
| author | Sébastien Cordillet Nicolas Bideau Benoit Bideau Guillaume Nicolas |
| author_facet | Sébastien Cordillet Nicolas Bideau Benoit Bideau Guillaume Nicolas |
| author_sort | Sébastien Cordillet |
| collection | DOAJ |
| description | This paper presents a novel sensor-to-segment calibration procedure for inertial sensor-based knee joint kinematics analysis during cycling. This procedure was designed to be feasible in-field, autonomously, and without any external operator or device. It combines a static standing up posture and a pedaling task. The main goal of this study was to assess the accuracy of the new sensor-to-segment calibration method (denoted as the ‘cycling’ method) by calculating errors in terms of body-segment orientations and 3D knee joint angles using inertial measurement unit (IMU)-based and optoelectronic-based motion capture. To do so, 14 participants were evaluated during pedaling motion at a workload of 100 W, which enabled comparisons of the cycling method with conventional calibration methods commonly employed in gait analysis. The accuracy of the cycling method was comparable to that of other methods concerning the knee flexion/extension angle, and did not exceed 3.8°. However, the cycling method presented the smallest errors for knee internal/external rotation (6.65 ± 1.94°) and abduction/adduction (5.92 ± 2.85°). This study demonstrated that a calibration method based on the completion of a pedaling task combined with a standing posture significantly improved the accuracy of 3D knee joint angle measurement when applied to cycling analysis. |
| first_indexed | 2024-04-11T22:42:39Z |
| format | Article |
| id | doaj.art-8e5d74dfb769413393b8e5a06ebb8bad |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:42:39Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-8e5d74dfb769413393b8e5a06ebb8bad2022-12-22T03:58:57ZengMDPI AGSensors1424-82202019-05-011911247410.3390/s19112474s19112474Estimation of 3D Knee Joint Angles during Cycling Using Inertial Sensors: Accuracy of a Novel Sensor-to-Segment Calibration Procedure Based on Pedaling MotionSébastien Cordillet0Nicolas Bideau1Benoit Bideau2Guillaume Nicolas3M2S Laboratory (Movement, Sports & Health), University Rennes 2, ENS Rennes, 35170 Bruz, FranceM2S Laboratory (Movement, Sports & Health), University Rennes 2, ENS Rennes, 35170 Bruz, FranceM2S Laboratory (Movement, Sports & Health), University Rennes 2, ENS Rennes, 35170 Bruz, FranceM2S Laboratory (Movement, Sports & Health), University Rennes 2, ENS Rennes, 35170 Bruz, FranceThis paper presents a novel sensor-to-segment calibration procedure for inertial sensor-based knee joint kinematics analysis during cycling. This procedure was designed to be feasible in-field, autonomously, and without any external operator or device. It combines a static standing up posture and a pedaling task. The main goal of this study was to assess the accuracy of the new sensor-to-segment calibration method (denoted as the ‘cycling’ method) by calculating errors in terms of body-segment orientations and 3D knee joint angles using inertial measurement unit (IMU)-based and optoelectronic-based motion capture. To do so, 14 participants were evaluated during pedaling motion at a workload of 100 W, which enabled comparisons of the cycling method with conventional calibration methods commonly employed in gait analysis. The accuracy of the cycling method was comparable to that of other methods concerning the knee flexion/extension angle, and did not exceed 3.8°. However, the cycling method presented the smallest errors for knee internal/external rotation (6.65 ± 1.94°) and abduction/adduction (5.92 ± 2.85°). This study demonstrated that a calibration method based on the completion of a pedaling task combined with a standing posture significantly improved the accuracy of 3D knee joint angle measurement when applied to cycling analysis.https://www.mdpi.com/1424-8220/19/11/2474inertial sensorsmisalignment correctionaccuracypedaling motionsensor-to-segment calibration3D knee joint angles |
| spellingShingle | Sébastien Cordillet Nicolas Bideau Benoit Bideau Guillaume Nicolas Estimation of 3D Knee Joint Angles during Cycling Using Inertial Sensors: Accuracy of a Novel Sensor-to-Segment Calibration Procedure Based on Pedaling Motion Sensors inertial sensors misalignment correction accuracy pedaling motion sensor-to-segment calibration 3D knee joint angles |
| title | Estimation of 3D Knee Joint Angles during Cycling Using Inertial Sensors: Accuracy of a Novel Sensor-to-Segment Calibration Procedure Based on Pedaling Motion |
| title_full | Estimation of 3D Knee Joint Angles during Cycling Using Inertial Sensors: Accuracy of a Novel Sensor-to-Segment Calibration Procedure Based on Pedaling Motion |
| title_fullStr | Estimation of 3D Knee Joint Angles during Cycling Using Inertial Sensors: Accuracy of a Novel Sensor-to-Segment Calibration Procedure Based on Pedaling Motion |
| title_full_unstemmed | Estimation of 3D Knee Joint Angles during Cycling Using Inertial Sensors: Accuracy of a Novel Sensor-to-Segment Calibration Procedure Based on Pedaling Motion |
| title_short | Estimation of 3D Knee Joint Angles during Cycling Using Inertial Sensors: Accuracy of a Novel Sensor-to-Segment Calibration Procedure Based on Pedaling Motion |
| title_sort | estimation of 3d knee joint angles during cycling using inertial sensors accuracy of a novel sensor to segment calibration procedure based on pedaling motion |
| topic | inertial sensors misalignment correction accuracy pedaling motion sensor-to-segment calibration 3D knee joint angles |
| url | https://www.mdpi.com/1424-8220/19/11/2474 |
| work_keys_str_mv | AT sebastiencordillet estimationof3dkneejointanglesduringcyclingusinginertialsensorsaccuracyofanovelsensortosegmentcalibrationprocedurebasedonpedalingmotion AT nicolasbideau estimationof3dkneejointanglesduringcyclingusinginertialsensorsaccuracyofanovelsensortosegmentcalibrationprocedurebasedonpedalingmotion AT benoitbideau estimationof3dkneejointanglesduringcyclingusinginertialsensorsaccuracyofanovelsensortosegmentcalibrationprocedurebasedonpedalingmotion AT guillaumenicolas estimationof3dkneejointanglesduringcyclingusinginertialsensorsaccuracyofanovelsensortosegmentcalibrationprocedurebasedonpedalingmotion |