Clothing condition does not affect meaningful clinical interpretation in markerless motion capture

Vajra T. Keller, Jereme B. Outerleys, Robert M. Kanko, Elise K. Laende, Kevin J. Deluzio

Résultat de recherche: Articleexamen par les pairs

36 Citations (Scopus)

Résumé

Markerless motion capture allows whole-body movements to be captured without the need for physical markers to be placed on the body. This enables motion capture analyses to be conducted in more ecologically valid environments. However, the influences of varied clothing on video-based markerless motion capture assessments remain largely unexplored. This study investigated two types of clothing conditions, “Sport” (gym shirt and shorts) and “Street” (unrestricted casual clothing), on gait parameters during overground walking by 29 participants at self-selected speeds using markerless motion capture. Segment lengths, gait spatiotemporal parameters, and lower-limb kinematics were compared between the two clothing conditions. Mean differences in segment length for the forearm, upper arm, thigh, and shank between clothing conditions ranged from 0.2 cm for the forearm to 0.9 cm for the thigh (p < 0.05 for thigh and shank) but below typical marker placement errors (1 – 2 cm). Seven out of 9 gait spatiotemporal parameters demonstrated statistically significant differences between clothing conditions (p < 0.05), however, these differences were approximately ten times smaller than minimal detectable changes in movement-related pathologies including multiple sclerosis and cerebral palsy. Hip, knee, and ankle joint angle root-mean-square deviation values averaged 2.6° and were comparable to previously reported average inter-session variability for this markerless system (2.8°). The results indicate that clothing, a potential limiting factor in markerless motion capture performance, would negligibly alter meaningful clinical interpretations under the conditions investigated.

Langue d'origineEnglish
Numéro d'article111182
JournalJournal of Biomechanics
Volume141
DOI
Statut de publicationPublished - août 2022
Publié à l'externeOui

Note bibliographique

Funding Information:
This study was supported by funding from ORF-RE 04-047 and NSERC-RGPIN 1512. Thanks to Adam Thompson for carrying out data collection and Theia Markerless for their generous technical support.

Publisher Copyright:
© 2022 Elsevier Ltd

ASJC Scopus Subject Areas

  • Biophysics
  • Orthopedics and Sports Medicine
  • Biomedical Engineering
  • Rehabilitation

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

Empreinte numérique

Plonger dans les sujets de recherche 'Clothing condition does not affect meaningful clinical interpretation in markerless motion capture'. Ensemble, ils forment une empreinte numérique unique.

Citer