Sentence examples for motion capture analysis from inspiring English sources

Maximum anterior PT (as measured with motion capture analysis) and maximum squat depth were added to the sheet, since two studies provided these data items.

First, the exact skeletal location (joint angle) would be calculated by computer-assisted infrared camera motion capture analysis (Furtado et al. 2013).

No ROM exact values reported Ng et al. [34] Motion capture analysis Low sagittal pelvic ROM is a crucial feature (along with α angle and neck-shaft angle) to determine symptoms in cam-FAI patients – Wilson et al. [21] Motion capture analysis FAI patients squat lower if knee separation is allowed Exact FAI type not reported.

No ROM exact values reported Rylander et al. [31] Motion capture analysis Pincer- and mixed-FAI patients display higher pelvic forward tilt and axial ROM while climbing stairs than healthy controls, both before and after surgery.

Hagio et al. used CT scans combined with infrared motion capture analysis (similar to this study) and showed excellent accuracy (within 5 degrees) for hip motion (Hagio et al. 2004).

Blinding and intra-/inter-rater reliability not mentioned Bagwell et al. [23] Motion capture analysis and force plate Cam-FAI patients squat higher than controls but with less posterior PT, likely because the extensor moment is reduced.

A video-based motion capture and analysis system was used to record the trajectories of body motions.

This technical note describes the development and evaluation of a low-cost motion capture and analysis system (SOMCAM3D).

Especially, it plays an important preprocessing role in vision-based human motion capture and analysis, since the shape of a human subject after the segmentation is one of the main features for understanding human behaviors [1].

By combining experimental data as retrieved from motion capture gait analysis, medical imaging, and MM it is possible to build anatomical correct models that represent the patient accurately [ 22], allowing the computation of muscle forces and hip reaction forces in a patient-specific manner [ 19].

Of the three judges, judge 1 and 2 had experience of motion capture and kinematic analysis, while judge 3 was a former dancer.