Tangible games for stroke rehabilitation with digital box and blocks test
Chen Zhao(Beijing Institute of Technology), Chih-Pin Hsiao(Georgia Institute of Technology), Nicholas Davis(Georgia Institute of Technology), Ellen Yi–Luen(Georgia Institute of Technology)
Cited by 12
Abstract
The Digital Box and Block Test (DBBT) is a post-stroke rehabilitation assessment apparatus for in-home use. It is based on the clinically validated Box and Block Test used to measure unilateral gross manual dexterity. We show that the automated DBBT scoring algorithms achieve at least 90% accuracy on a scoring procedure that is traditionally labor intensive and subjective. Furthermore, we propose a tangible gaming system based on DBBT to increase patient motivation and make rehabilitation exercises more enjoyable.
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