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- W4312771285 abstract "Today is the era of a digital world. The need for another person to be present around for a simple task is getting slim to none. Computer Vision and Machine Learning are the basis of this modern era. With cutting-edge technologies in computer vision, we can detect, monitor, and even control the results as we desire. They are ruling in every other industry, so why not in Yoga Industry. Yoga is not a new practice. It has been in existence since ancient times. Yoga is something that adds years to your life and automatically life to your years. One of the crucial parts of computer vision is the human body pose estimation. Pose estimation techniques can be further extended to grade or compare human poses as part of the yoga practice sessions. There are different pose grading models. This paper goes through the existing pose grading model and proposes a new computer vision based transformation model for human pose grading. This paper also proposes an implementation technique which is in the form of web based yoga game that uses the proposed model and let the users learn and enjoy yoga practices." @default.
- W4312771285 created "2023-01-05" @default.
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- W4312771285 date "2022-09-08" @default.
- W4312771285 modified "2023-10-18" @default.
- W4312771285 title "Digital Yoga Game with Enhanced Pose Grading Model" @default.
- W4312771285 doi "https://doi.org/10.1109/iccsea54677.2022.9936591" @default.
- W4312771285 hasPublicationYear "2022" @default.
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