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Characterization of bilateral reaching development using augmented reality games
Shelby Ziccardi1, Samantha Timanus1, Ghazaleh Ashrafzadehkian2
1Department of Computer Science and Engineering, University of Minnesota, Kenneth H. Keller Hall, 200 Union St SE, Minneapolis, MN 55455, United States of America.
This study used augmented reality to measure bilateral coordination in children, finding that symmetric and asymmetric reaching skills develop together. This technology can help identify coordination impairments in neurodevelopmental conditions.
Area of Science:
- Neuroscience
- Developmental Psychology
- Human-Computer Interaction
Background:
- Bilateral coordination is often impaired in neurodevelopmental conditions like cerebral palsy, developmental coordination disorder, and autism spectrum disorder.
- Objective clinical assessments and age-based norms for quantifying bilateral coordination are lacking.
Purpose of the Study:
- To utilize augmented reality and computer vision to characterize bilateral reaching abilities in typically developing children.
- To establish age-based norms for bilateral coordination in children.
Main Methods:
- 133 typically developing children aged 6-17 years performed symmetric and asymmetric bilateral reaching tasks in an augmented reality game.
- Performance was analyzed by the number of target pairs reached within 50 seconds and the time lag between hands.
- Computer vision and augmented reality technologies were employed for data acquisition and analysis.
Main Results:
- Bilateral reaching performance, including targets reached and hand lag, developed in parallel for both symmetric and asymmetric tasks.
- Performance development slowed but did not plateau after age 12.
- Children performed better on symmetric tasks than asymmetric tasks, with decreased hand lag variability with age.
- Females generally outperformed males, with the most significant gender differences observed in 10-11 year olds.
Conclusions:
- Symmetric and asymmetric reaching abilities demonstrate parallel development throughout childhood and adolescence.
- Augmented reality and computer vision provide a feasible method for quantifying bilateral coordination.
- This approach has potential applications for assessing clinical populations with coordination impairments.
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