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Sensor-based augmented visual feedback for coordination training in healthy adults: a scoping review.
Heinz Hegi1, Jakob Heitz1, Ralf Kredel1
1Institute of Sport Science, University of Bern, Bern, Switzerland.
Frontiers in Sports and Active Living
|July 28, 2023
Summary
Sensor-based augmented visual feedback can enhance sports training for complex movements. This review highlights the need for better study designs to guide the development of effective sensor feedback systems for skill acquisition.
Area of Science:
- Sports Science
- Motor Learning
- Human-Computer Interaction
Background:
- Sensor technology offers potential for augmented visual feedback in sports training.
- Sensorimotor learning benefits from carefully administered external feedback.
- Sensor systems can provide real-time or post-training feedback using physiological, kinetic, or kinematic data.
Purpose of the Study:
- To conduct a scoping review of sensor-based augmented visual feedback in complex sensorimotor tasks in sports.
- To identify key considerations for developing and evaluating future sensor-based feedback systems.
Main Methods:
- Scoping review of 26 studies on visual feedback for complex sensorimotor tasks in healthy adults (18-65).
- Included studies focused on visual feedback modalities and complex movement tasks.
- Excluded studies using non-visual feedback or focusing on clinical populations.
Main Results:
- Extracted data on feedback design, intervention, and outcomes from reviewed studies.
- Summarized recommendations for sensor-based augmented feedback systems.
- Found high heterogeneity and risk of bias across studies, preventing statistical synthesis.
Conclusions:
- Sensor-based augmented visual feedback holds promise for sports training.
- Development of effective systems requires careful consideration of feedback administration.
- Future research needs stronger study designs and reporting guidelines for evidence-based feedback guidance in complex skill acquisition.
Keywords:
augmented feedbackautonomous trainingcoordination trainingdesign guidelinemotor learningsensor-basedvisual feedback
