University of Twente Student Theses
Promoting Motor Learning in Squats through Visual Error Augmented Feedback: A Markerless Motion Capture Approach
Sprenkels, Bart (2024) Promoting Motor Learning in Squats through Visual Error Augmented Feedback: A Markerless Motion Capture Approach.
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| Abstract: | Error Augmentation (EA) is a method to benefit motor learning, proven effective in post-stroke rehabilitation. EA draws attention to errors in performance by intentionally amplifying the deviation between the performance and the ideal trajectory with the goal of promoting skill acquisition. So far, EA has only been implemented on simple movements through advanced sensing and actuation tools. In this study, we explore the use of Markerless Motion Capture (MMC) to support EA for complex motor tasks in sports. This work contributes i) a low-cost, flexible, and easy-to-use MMC-based prototype to provide Error Augmented Feedback (EAF) in the field, and ii) an experiment (N=34) investigating the effectiveness of terminal visual EAF on Bodyweight (BW) squats for three pre-defined bio-mechanical features. Visual feedback delivered through our MMC-based prototype proved effective on one out of three selected bio-mechanical features. There is no evidence that indicates that participants who received EAF outperformed participants who received unmodified True Feedback (TF). Qualitative insights on using MMC to design visual feedback are promising but reveal inconsistencies introduced by variables such as clothing, long processing times, and inadequate camera quality. Observations on the effects of EA highlight the importance of a pre-defined ideal technique, the right gain, and the consideration to use deception or not. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 50 technical science in general |
| Programme: | Interaction Technology MSc (60030) |
| Link to this item: | https://purl.utwente.nl/essays/101761 |
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