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  • Human Kinetics  (2)
  • 1
    In: Journal of Applied Biomechanics, Human Kinetics, ( 2024), p. 1-9
    Abstract: As markerless motion capture is increasingly used to measure 3-dimensional human pose, it is important to understand how markerless results can be interpreted alongside historical marker-based data and how they are impacted by clothing. We compared concurrent running kinematics and kinetics between marker-based and markerless motion capture, and between 2 markerless clothing conditions. Thirty adults ran on an instrumented treadmill wearing motion capture clothing while concurrent marker-based and markerless data were recorded, and ran a second time wearing athletic clothing (shorts and t-shirt) while markerless data were recorded. Differences calculated between the concurrent signals from both systems, and also between each participant’s mean signals from both asynchronous clothing conditions were summarized across all participants using root mean square differences. Most kinematic and kinetic signals were visually consistent between systems and markerless clothing conditions. Between systems, joint center positions differed by 3 cm or less, sagittal plane joint angles differed by 5° or less, and frontal and transverse plane angles differed by 5° to 10°. Joint moments differed by 0.3 N·m/kg or less between systems. Differences were sensitive to segment coordinate system definitions, highlighting the effects of these definitions when comparing against historical data or other motion capture modalities.
    Type of Medium: Online Resource
    ISSN: 1065-8483 , 1543-2688
    Language: Unknown
    Publisher: Human Kinetics
    Publication Date: 2024
    SSG: 12
    SSG: 31
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Human Kinetics ; 2016
    In:  Journal of Applied Biomechanics Vol. 32, No. 2 ( 2016-04), p. 171-177
    In: Journal of Applied Biomechanics, Human Kinetics, Vol. 32, No. 2 ( 2016-04), p. 171-177
    Abstract: High levels of gait asymmetry are associated with many pathologies. Our long-term goal is to improve gait symmetry through real-time biofeedback of a symmetry index. Symmetry is often reported as a single metric or a collective signature of multiple discrete measures. While this is useful for assessment, incorporating multiple feedback metrics presents too much information for most subjects to use as visual feedback for gait retraining. The aim of this article was to develop a global gait asymmetry (GGA) score that could be used as a biofeedback metric for gait retraining and to test the effectiveness of the GGA for classifying artificially-induced asymmetry. Eighteen participants (11 males; age 26.9 y [ SD = 7.7]; height 1.8 m [ SD = 0.1]; body mass 72.7 kg [ SD = 8.9]) walked on a treadmill in 3 symmetry conditions, induced by wearing custom-made sandals: a symmetric condition (identical sandals) and 2 asymmetric conditions (different sandals). The GGA score was calculated, based on several joint angles, and compared between conditions. Significant differences were found among all conditions ( P 〈 .001), meaning that the GGA score is sensitive to different levels of asymmetry, and may be useful for rehabilitation and assessment.
    Type of Medium: Online Resource
    ISSN: 1065-8483 , 1543-2688
    Language: Unknown
    Publisher: Human Kinetics
    Publication Date: 2016
    SSG: 12
    SSG: 31
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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