The Effects of Visual Feedback Complexity on Training the Two-Legged Squat Exercise

Sean Sanford, Mingxiao Liu, Thomas Selvaggi, Raviraj Nataraj

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We investigated the effects of visual feedback (VF) complexity and visual mode of body-discernibility for training the two-legged squat exercise. Our objective was to identify features for optimizing VF-based movement rehabilitation paradigms. We evaluated four unique VF cases with unique combination of VF complexity type (simple, complex) and visual mode of display (abstract, representative). We evaluated the effects of VF during training (real-time VF) and post-assessment (no-VF, immediately following training) for increasing motion and muscle activity consistency. Eighteen able-bodied subjects completed training and post-assessment with all four VF cases in a single training session. We demonstrated that Complex-representative VF has potential to elicit more consistent motion and muscle activity patterns during rehabilitative training.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Movement and Computing, MOCO 2020
ISBN (Electronic)9781450375054
DOIs
StatePublished - 15 Jul 2020
Event7th International Conference on Movement and Computing, MOCO 2020 - Jersey City, Virtual, United States
Duration: 15 Jul 202017 Jul 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Movement and Computing, MOCO 2020
Country/TerritoryUnited States
CityJersey City, Virtual
Period15/07/2017/07/20

Keywords

  • Visual feedback
  • electromyography
  • motion capture analysis
  • movement rehabilitation

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