Recognizing the paramount importance of accurate yoga practice to mitigate potential injuries, recent technological strides have ushered in a new era of accessible online yoga sessions. While several applications have emerged, a notable deficiency lies in rudimentary classification system, merely categorizing postures as either right or wrong. Addressing this inadequacy, our innovative approach incorporates the advanced capabilities of the MediaPipe library. Unlike conventional applications, our method involves a comprehensive analysis, monitoring the entire sequence of steps executed by the user during their yoga practice. By delving into the intricacies of each step, our system goes beyond the binary classification, ensuring that every aspect of the asana is performed with precision and in the correct order. This meticulous monitoring not only promotes a safer practice but also enhances overall efficacy, allowing practitioners to derive maximum benefits from their yoga routines. Integral to our solution is the seamless integration of the MediaPipe library into a user-friendly mobile application. Beyond improving posture assessment accuracy, this integration significantly expands the outreach of our platform. The user-friendly interface further ensures that individuals, regardless of their expertise level, can engage with the application effortlessly. This inclusivity aligns with our broader objective of making yoga practice accessible to a diverse and extensive audience, thereby fostering a healthier and more balanced lifestyle for a multitude of individuals.
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Narang et al. (2024) studied this question.
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