Validity and Reliability of the 3D Motion Analyzer in Comparison with the Vicon Device for Biomechanical Pedalling Analysis

Bouillod, Anthony; Costes, Antony; Soto-Romero, Georges; Brunet, Emmanuel; Grappe, Frédéric

doi:10.5220/0006088200630066

Cited by 5 publications

(7 citation statements)

References 15 publications

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“…The most similar to our study design and methods had only three subjects and their data were limited to 15 measurements that do not reconstruct all cycling movements, or the relationship between rider and bicycle. Similar to our results, they found high levels of correlation between a LED-emitting camera system for cycling analysis and the gold standard high-speed Vicon cameras [ 27 ].…”

Section: Discussionsupporting

confidence: 89%

Validation of a 3D Camera System for Cycling Analysis

Scoz

Espindola

Santiago

et al. 2021

Sensors

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Background: Kinematic analysis aimed toward scientific investigation or professional purposes is commonly unaffordable and complex to use. Objective: The purpose of this study was to verify concurrent validation between a cycling-specific 3D camera and the gold-standard 3D general camera systems. Methods: Overall, 11 healthy amateur male triathletes were filmed riding their bicycles with Vicon 3D cameras and the Retul 3D cameras for bike fitting analysis simultaneously. All 18 kinematic measurements given by the bike fitting system were compared with the same data given by Vicon cameras through Pearson correlation (r), intraclass correlation coefficients (ICC), standard error measurements (SEM), and Bland–Altman (BA) analysis. Confidence intervals of 95% are given. Results: A very high correlation between cameras was found on six of 18 measurements. All other presented a high correlation between cameras (between 0.7 and 0.9). In total, six variables indicate a SEM of less than one degree between systems. Only two variables indicate a SEM higher than two degrees between camera systems. Overall, four measures indicate bias tendency according to BA. Conclusions: The cycling-specific led-emitting 3D camera system tested revealed a high or very high degree of correlation with the gold-standard 3D camera system used in laboratory motion capture. In total, 14 measurements of this equipment could be used in sports medicine clinical practice and even by researchers of cycling studies.

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Section: Discussionsupporting

confidence: 89%

Validation of a 3D Camera System for Cycling Analysis

Scoz

Espindola

Santiago

et al. 2021

Sensors

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Section: Discussionmentioning

confidence: 99%

“…3D motion capture systems with markers or trackers, such as the Xsens MVN BIOMECH system (Xsens Technologies B.V., The Netherlands) and a 3D motion analyzer (Shimano Dynamics Lab, Sittard, Netherland), were also established for validity or reliability when compared with kinematic data from the Vicon motion capture system [22,23]. They highlighted the importance of marker placement for comparative statistical analysis between the two motion capture systems, and explained that the difference measured between the systems was related to some movements of the 3D motion analyzer markers during dynamic measurements [23]. These marker-based 3D motion captures suffer from well-known shortcomings including obtrusion, expense, data errors owing to damage to the marker trajectories, long set-up times, requirement of operating skills, and the lack of ability to capture the dynamic motion of subjects in normal clothing [9,24].…”

Section: Discussionmentioning

confidence: 99%

WITHDRAWN: Use of a Novel Multi-View Image-Based Motion Analysis System in the Field of Sports

Lee

Ahn²,

Lim

2021

Preprint

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Background: Sports-related injuries are the most common in the lower extremities among physical regions, and overall injury rates were higher among males and persons aged 5–24 years. To evaluate impaired functional performance in sports training facilities and sports, a marker-less motion analysis system that can measure joint kinematics in bright indoor and outdoor environments is required. Objective: To establish the concurrent and angle-trajectory validity and intra-trial reliability of a novel multi-view image-based motion analysis system with marker-less during lower extremity tasks in healthy young men.Methods: Ten healthy young men participated voluntarily in this study. The hip and knee joint angles were collected using a multi-view image-based motion analysis system (marker-less) and a Vicon motion capture system (with markers) during the lower extremity tasks. Intraclass correlation coefficient (ICC) analyses were used to identify the concurrent and angle-trajectory validity and intra-trial reliability of the multi-view image-based motion analysis system.Results: In the concurrent validity, the correlation analysis revealed that the ICC3, k values on the hip and knee flexions during knee bending in sitting, standing, and squat movements were 0.747 to 0.936 between the two systems. In particular, the angle-trajectory validity was very high (ICC3, 1 = 0.859–0.998), indicating a high agreement between the two systems. The intra-trial reliability of each system was excellent (ICC3, 1 = 0.773–0.974), reflecting high reproducibility. Conclusion: We suggest that this novel marker-less motion analysis system is highly accurate and reliable for measuring joint kinematics of the lower extremities during the rehabilitation process and monitoring the sports performance of athletes in sports training facilities.

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“…Among these systems, the Shimano 3D motion analyzer and the Retül system are considered scientifically valid to assess 3D joint kinematics during cycling, compared to a gold standard motion capture system (Vicon Motion Systems Ltd Oxford, UK). 36,37 However, Bouillod et al advise favouring an opto-electronic system based on several cameras positioned around the cyclists for research purposes. 36 The complete 3D motion capture protocols require an important number of markers positioned on specific anatomical points (Figure 1).…”

Section: Laboratory Motion Capture Systemsmentioning

confidence: 99%

“…36,37 However, Bouillod et al advise favouring an opto-electronic system based on several cameras positioned around the cyclists for research purposes. 36 The complete 3D motion capture protocols require an important number of markers positioned on specific anatomical points (Figure 1). They are notably placed on both sides of the body and on the spine to improve the accuracy of the analysis and detect imbalances or asymmetries.…”

Section: Laboratory Motion Capture Systemsmentioning

confidence: 99%

A literature overview of modern biomechanical-based technologies for bike-fitting professionals and coaches

Millour

Velásquez

Domingue

2022

International Journal of Sports Science & Coaching

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The optimization of cycling position is essential to improve performance and prevent overuse injuries. Bike-fitting methods, based on biomechanical variables, have been proposed in the scientific literature. To facilitate and generalize their use, the bike-fitting industry has developed various technologies to study and analyze the cycling position. The vast majority of bike-fitting protocols are based on joint kinematics, which can be evaluated in laboratory with two- or three-dimensional motion analysis systems. Joint kinematics can also be assessed in outdoor conditions with inertial measurement units, but currently, these tools provide a limited number of variables compared to laboratory systems. In addition, the bike-fitting professional can analyse pedalling technique with pedal forces to understand the effects of the bike adjustments on pedalling effectiveness. To complete the biomechanical evaluation, pressure mapping sensors allow for the measurement of the pressure load and distribution on the interfaces between the cyclist and the bicycle to detect imbalances and choose bike components (e.g., saddle). To go further in the analysis, muscular activity can be assessed with surface electromyography sensors to detect imbalances or asymmetry. The aim of this literature overview is to clearly define the role of these technologies in a bike-fitting protocol and identify their characteristics and limitations while proposing perspectives for future developments. Therefore, this work is intended for bike-fitting professionals and coaches wishing to choose the most suitable technologies to study and improve the cycling position, and for the bike-fitting industry, in order to optimize existing technologies and help develop new concepts.

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Validity and Reliability of the 3D Motion Analyzer in Comparison with the Vicon Device for Biomechanical Pedalling Analysis

Cited by 5 publications

References 15 publications

Validation of a 3D Camera System for Cycling Analysis

Validation of a 3D Camera System for Cycling Analysis

WITHDRAWN: Use of a Novel Multi-View Image-Based Motion Analysis System in the Field of Sports

A literature overview of modern biomechanical-based technologies for bike-fitting professionals and coaches

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