Motion analysis system for identification of 3D human locomotion kinematics data and accuracy testing

Papić, Vladan; Zanchi, Vlasta; Cecić, Mojmil

doi:10.1016/j.simpat.2003.08.008

Cited by 7 publications

(14 citation statements)

References 4 publications

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“…factor when deciding to purchase new equipment for biomechanics analysis laboratory. 4 Consumer, 5 • 6 industrial 7 • 8 and entertainment 9 • 10 • 11 video systems are viable alternatives for motion analysis. Recent technical improvements in image resolution and capture frequency, and decreasing costs have made action sport cameras (ASC) an emerging tool in the athletic performance evaluation.…”

mentioning

confidence: 99%

Are Action Sport Cameras Accurate Enough for 3D Motion Analysis? A Comparison With a Commercial Motion Capture System

Bernardina

Monnet

Pinto

et al. 2019

Journal of Applied Biomechanics

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The aim of this study was to assess the precision and accuracy of an Action Sport Camera (ASC) system (4 GoPro Hero3+ Black) by comparison with a commercial motion capture (MOCAP) system (4 ViconMX40). Both systems were calibrated using the MOCAP protocol and the 3D markers coordinates of a T-shaped tool were reconstructed, concurrently. The 3D precision was evaluated by the differences in the reconstructed position using a Bland-Altman test, while accuracy was assessed by a rigid bar test (Wilcoxon rank sum). To examine the accuracy of the ASC in respect to the knee flexion angles, a jump and gait task were also examined using one subject (Wilcoxon rank sum). The ASC system provided a maximum error of 2.47 mm, about 10 times higher than the MOCAP (0.21 mm). The reconstructed knee flexion angles were highly correlated (r>0.99) and showed no significant differences between systems (<2.5°; p>0.05). As expected, the MOCAP obtained better 3D precision and accuracy. However, we show such differences have little practical effect on reconstructed 3D kinematics.

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mentioning

confidence: 99%

Are Action Sport Cameras Accurate Enough for 3D Motion Analysis? A Comparison With a Commercial Motion Capture System

Bernardina

Monnet

Pinto

et al. 2019

Journal of Applied Biomechanics

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“…The wand calibration method includes waving a wand with two markers at a fixed distance in the capture volume. Previous studies performing accuracy tests of several motion capture systems also utilized markers at fixed distances to each other (Dorociak and Cuddeford, 1995 ; Ehara et al, 1997 ; Richards, 1999 ; Papic et al, 2004 ). Compared to our technique, the use of fixed markers in the previous studies was straightforward and easier to implement.…”

Section: Resultsmentioning

confidence: 99%

“…In principle, accurate 3D measurements could be achieved in a conventional setting. Previous studies have reported good accuracy when commercially available camera systems were used in a predefined volume (Dorociak and Cuddeford, 1995 ; Ehara et al, 1997 ; Richards, 1999 ; Papic et al, 2004 ). Liu et al ( 2007 ) further explored the accuracy of an optical system in the 0.5–200 μm range for really small tooth displacements.…”

Section: Introductionmentioning

confidence: 98%

The Use of Collision Detection to Infer Multi-Camera Calibration Quality

Chong

Dorow

Ramasamy

et al. 2015

Front. Bioeng. Biotechnol.

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Optical motion capture systems are widely used in sports and medicine. The performance of these systems depends on, amongst other factors, the quality of the camera calibration process. This study proposes a technique to assess the accuracy of the extrinsic camera parameters, as estimated during calibration. This method relies on the fact that solid objects in the real world cannot possess a gap in between, nor interpenetrate, when in contact with each other. In our study, we used motion capture to track successive collisions of two solid moving objects. The motion of solid objects was simulated based on trajectories measured by a multi-camera system and geometric information acquired from computed tomography. The simulations were then used to determine the amount of overlap or gap between them. This technique also takes into account errors resulting from markers moving close to one another, and better replicates actual movements during motion capture. We propose that this technique of successively colliding two solid moving objects may provide a means of measuring calibration accuracy.

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“…In practice, however, measurement of human motion is still dominated by video camera recordings, followed by image-based analysis using specialized software to derive kinematic data (Mayagotia, Nene, & Veltink, 2002). Papiç, Zanchi, & Ceciç (2004) suggest that in human motion analysis and more specifically for sports events, basic camcorders offer the advantages of lower cost and reduced cabling when compared to specific camera systems such as Vicon (Vicon Motion Systems, Oxford, UK). However, the fundamental issue with using multiple camcorders is the lack of phase locking between each camera, which is also widely known as "genlock" capability.…”

Section: Introductionmentioning

confidence: 99%

“…However, the fundamental issue with using multiple camcorders is the lack of phase locking between each camera, which is also widely known as "genlock" capability. Papiç et al (2004) propose that for 3-Dimensional kinematic data using camcorders, the maximum amplitude of the measured kinematic signal can be used as a reliable synchronization point.…”

Section: Introductionmentioning

confidence: 99%

Linear Acceleration Measurement Utilizing Inter-Instrument Synchronization: A Comparison between Accelerometers and Motion-Based Tracking Approaches

Callaway

Cobb

2012

Measurement in Physical Education and Exercise Science

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Where as video cameras are a reliable and established technology for the measurement of kinematic parameters, accelerometers are increasingly being employed for this type of measurement due to their ease of use, performance, and comparatively low cost. However, the majority of accelerometer-based studies involve a single channel due to the difficulty associated with synchronizing multiple accelerometer channels. The authors of this article outline a method to synchronize multiple accelerometers using a maxima detection method. Results are presented that demonstrate the effectiveness of the new synchronization method with 52 of 54 recorded data sets showing no time lag error and two tests showing an error of .04 sec. Inter-instrument and instrument-video correlations are all greater than r = .94 (p < .01), with inter-instrument precision (Root Mean Square Error; RMSE) ≈ .1ms −2 , demonstrating the efficacy of the technique. In conclusion, the new technique offers a robust solution, giving further support to the movement toward wider adoption of accelerometer-based performance measurement systems in sports science.

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Motion analysis system for identification of 3D human locomotion kinematics data and accuracy testing

Cited by 7 publications

References 4 publications

Are Action Sport Cameras Accurate Enough for 3D Motion Analysis? A Comparison With a Commercial Motion Capture System

Are Action Sport Cameras Accurate Enough for 3D Motion Analysis? A Comparison With a Commercial Motion Capture System

The Use of Collision Detection to Infer Multi-Camera Calibration Quality

Linear Acceleration Measurement Utilizing Inter-Instrument Synchronization: A Comparison between Accelerometers and Motion-Based Tracking Approaches

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