A Self-adaptive Serious Game for Eye-Hand Coordination Training

Author:

Cardia da Cruz LeonardoORCID,Sierra-Franco César A.ORCID,Silva-Calpa Greis Francy M.ORCID,Barbosa Raposo AlbertoORCID

Publisher

Springer International Publishing

Reference21 articles.

1. Andrade, G., Ramalho, G., Santana, H., Corruble, V.: Extending reinforcement learning to provide dynamic game balancing. In: Proceedings of the Workshop on Reasoning, Representation, and Learning in Computer Games, 19th International Joint Conference on Artificial Intelligence (IJCAI), pp. 7–12 (2005)

2. de Araujo, B., Feijó, B.: Evaluating dynamic difficulty adaptivity in shoot’em up games. In: Proceedings of the XII Brazilian Symposium on Games and DigitalEntertainment-SBGames 2013, pp. 229–238 (2013)

3. Binaee, K.: Study of human hand-eye coordination using machine learning techniques in a virtual reality setup. Ph.D. thesis, Rochester Institute of Technology (2019)

4. Brooke, J., et al.: Sus-a quick and dirty usability scale. Usabil. Eval. Ind. 189(194), 4–7 (1996)

5. Carmeli, E., Bar-Yossef, T., Ariav, C., Levy, R., Liebermann, D.G.: Perceptual-motor coordination in persons with mild intellectual disability. Disabil. Rehabil. 30(5), 323–329 (2008)

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1. Multimodal Framework for Fine and Gross Upper-Limb Motor Coordination Assessment Using Serious Games and Robotics;Applied Sciences;2024-09-11

2. A statistical approach to select the manipulated variables of a difficulty adjustment closed-loop control for an augmented reality video game;2023 IEEE 6th Colombian Conference on Automatic Control (CCAC);2023-10-17

3. Towards Assessment and Rehabilitation of Eye-Hand Coordination Using Serious Games and Robotic Devices;2023 IEEE 11th International Conference on Serious Games and Applications for Health (SeGAH);2023-08-28

4. Dynamic Difficulty Adjustment (DDA) on a Serious Game Used for Hand Rehabilitation;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-06-30

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