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Open AccessArticle

Estimation of 3D Knee Joint Angles during Cycling Using Inertial Sensors: Accuracy of a Novel Sensor-to-Segment Calibration Procedure Based on Pedaling Motion

1
M2S Laboratory (Movement, Sports & Health), University Rennes 2, ENS Rennes, 35170 Bruz, France
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MIMETIC–Analysis-Synthesis Approach for Virtual Human Simulation, INRIA Rennes–Bretagne Atlantique, IRISA_D6–MEDIA ET INTERACTIONS, 35000 Rennes, France
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(11), 2474; https://doi.org/10.3390/s19112474
Received: 14 March 2019 / Revised: 22 May 2019 / Accepted: 25 May 2019 / Published: 30 May 2019
(This article belongs to the Special Issue Inertial Sensors)
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. View Full-Text
Keywords: inertial sensors; misalignment correction; accuracy; pedaling motion; sensor-to-segment calibration; 3D knee joint angles inertial sensors; misalignment correction; accuracy; pedaling motion; sensor-to-segment calibration; 3D knee joint angles
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Cordillet, S.; Bideau, N.; Bideau, B.; Nicolas, G. 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 2019, 19, 2474.

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