International Journal of Advanced Computer Science and Applications

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Applying Artificial Intelligence and Computer Vision for Augmented Reality Game Development in Sports
(Science and Information Organization, 2023-01-01)
Nurlan Omarov
;
Bakһytzһan Omarov
;
Axaule Baibaktina
;
Bayan Abilmazhinova
;
Tolep Abdimukhan
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.
Цитирования (OpenAlex) 7Цитирования (OpenCitations) 3
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Development of Computer Vision-enabled Augmented Reality Games to Increase Motivation for Sports
(Science and Information Organization, 2023-01-01)
Bauyrzhan Doskarayev
;
Nurlan Omarov
;
Bakһytzһan Omarov
;
Zhuldyz Ismagulova
;
Zhadra Kozhamkulova
This research paper presents the development of computer vision-enabled augmented reality games based on action detection to increase motivation for sports. With the increasing popularity of digital games, physical activity and sports participation have been declining, especially among the younger generation. To address this issue, we developed a series of augmented reality games that require players to perform physical actions to progress and succeed in the game. These games were developed using computer vision technology to detect the players' movements and provide real-time feedback, enhancing the gaming experience and promoting physical activity. The results of our user study showed that participants who played the augmented reality games reported higher levels of motivation to engage in physical activity and sports. The findings suggest that computer vision-enabled augmented reality games can be an effective tool to promote physical activity and sports participation, especially among younger generations.
Цитирования (OpenAlex) 15Цитирования (OpenCitations) 10

International Journal of Advanced Computer Science and Applications

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