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A Deep Learning and AI Based Personalized Yoga Trainer Using Pose Estimation Model

  • Unique Paper ID: 167546
  • Volume: 11
  • Issue: 3
  • PageNo: 1728-1732
  • Abstract:
  • When embarking on a journey towards a healthy lifestyle, monitoring exercise is a fundamental and empowering practice. An unhealthy lifestyle is pretty much common in today’s world, while most teens and adults’ resort to gyms as a first-hand savior to improve physical fitness, we often ignore the potential, side effects and risks associated with machine exercises. In today’s world, which is fueled by social media influence, we tend to incline towards maintaining a perfect physical fit. However, with our busy schedules, we often lack motivation and the push to exercise and go to the gym regularly. All exercises must be performed under the supervision of an experienced trainer since any incorrect or bad posture may lead to muscle soreness or injuries. Nowadays, people feel more at ease staying in their homes. This situation demands a technology-driven yoga practice. Developing a project that automatically detects a person’s pose in an image frame is a difficult task as it depends on several aspects such as the scale and resolution of the image, background clutter, and clothing variations. This project concentrates on building an end-to-end custom yoga trainer. This yoga trainer detects the pose and suggests the correct yoga posture (if incorrect). The system monitors the set of exercises and evaluates the pose until the user achieves the desired and accurate pose. As consistency is the master key that unlocks the door to a healthier you, it also keeps track of the recursion round of the pose.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 3
  • PageNo: 1728-1732

A Deep Learning and AI Based Personalized Yoga Trainer Using Pose Estimation Model

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8.01 (Year 2024)
UGC Approved
Journal no 47859

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