Improving Cognitive Learning of Children with Dyspraxia using Selection based Mid-Air Gestures in Athynos Game
Boregowda Dhanalakshmi, R. Dhanagopal, Dhashrath Raguraman, T. Thamdapani · 2020
Computer-generated graphics are digitally enhanced videos for implementing imagery having virtuality in the real world. Dyspraxia affected children have poor hand-eye synchronization and no improvements in their cognitive skills. Proper guidance and cognitive skill-developing strategies are to be implemented in treating Dyspraxia children. The motor tasks can be performed and improvements can be monitored for children with dyspraxia by playing augmented reality serious games. A new game with augmented reality named Athynos is introduced. Hardware components like sensors(ultrasound sensors) are used to bring the virtuality in the Athynos game through the air selection process. The hand movements of the dyspraxia child are capture by the ultrasound sensor and using the Arduino the captured actions are transfer to the system as the input. The result of the dyspraxia children is analyzed by three or more trials and the report is calculated using the deep learning algorithm (linear regression). Playing active games (Athynos) act as a psychotherapy tool for the dyspraxia disorder children. Athynos games using augmented reality help improving and upgrading the skills that develop cognitive learning and hand-eye synchronization for the children affected with dyspraxia.