Abstract: This paper delineates the intricate process of crafting an Augmented Reality (AR)-enriched version of the Subway Surfers game, engineered with an emphasis on action recognition and the leverage of Artificial Intelligence (AI) principles, with the primary objective of boosting children's enthusiasm towards physical activity. The gameplay, fundamentally predicated on advanced computer vision methodologies for discerning player kinesthetics, and reinforced with machine learning tactics for modulating the intricacy of the game in accordance with player capabilities, offers an immersive and engaging interface. This innovative amalgamation serves to not only catalyze children's interest in participating in active exercises, but also introduces a playful aspect to it. The procedural development of the game required the cohesive assimilation of a diverse spectrum of technologies, encompassing Unity for game development, TensorFlow for implementing machine learning algorithms, and Vuforia for crafting the AR elements. A preliminary study, conducted to assess the efficacy of the game in fostering a pro-sport attitude in children, reported encouraging outcomes. Given the potential of the game to incite physical activity among young users, it could be construed as a promising antidote to sedentarism and a potent catalyst for endorsing a healthier lifestyle.

Nurlan Omarov, Bakhytzhan Omarov, Axaule Baibaktina, Bayan Abilmazhinova, Tolep Abdimukhan, Bauyrzhan Doskarayev and Akzhan Adilzhan, “Applying Artificial Intelligence and Computer Vision for Augmented Reality Game Development in Sports” International Journal of Advanced Computer Science and Applications(IJACSA), 14(8), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140876

@article{Omarov2023,
title = {Applying Artificial Intelligence and Computer Vision for Augmented Reality Game Development in Sports},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140876},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140876},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {8},
author = {Nurlan Omarov and Bakhytzhan Omarov and Axaule Baibaktina and Bayan Abilmazhinova and Tolep Abdimukhan and Bauyrzhan Doskarayev and Akzhan Adilzhan}
}