Suryanamaskar Pose Identification and Estimation Using No Code Computer Vision

Bhaumik, Ujjayanta; Chatterjee, Siddharth G.; Singh, Koushlendra Kumar

doi:10.1007/978-981-16-5078-9_7

Cited by 1 publication

(1 citation statement)

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“…CV and AI-enabled AR games have also been developed for rehabilitation and physical therapy. One study by Bhaumik et al ( 2021) developed an AR-based rehabilitation system that used CV and AI technology to track and analyze the user's movements during therapy sessions [20]. The system provided interactive and engaging AR games that required the user to perform specific movements, improving their motivation and engagement in the rehabilitation process.…”

Section: Related Workmentioning

confidence: 99%

Development of Computer Vision-enabled Augmented Reality Games to Increase Motivation for Sports

Doskarayev¹,

Omarov²,

Omarov³

et al. 2023

IJACSA

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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.

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Section: Related Workmentioning

confidence: 99%