UA Balance

Age-related poor balance is due to decreased diminished neuromuscular feedback, often leading to an increased risk of falling. Prior studies have shown that motor-cognitive, dual-task performance exercises can enhance proprioception and neuromuscular control, improving balance and gait speed, thus reducing the risk of falling in older adults.

Our project clinically tested and engineered a smartphone application to make the balance exercises easily accessible, helping improve older adults’ (age 60 or above) balance by providing evidence-based motor cognitive, dual-task exercises.

Built for and designed by the University of Arizona Center on Aging.

GitHub: https://github.com/WellMet/Balance
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What's New

Changed app icon and definitely removed swiping.
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Additional Information

Updated
April 30, 2018
Size
9.8M
Installs
50+
Current Version
4.0
Requires Android
4.0.3 and up
Content Rating
Everyone
Permissions
Offered By
Sheldon Ruiz
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