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Yoga Pose Estimation Using Angle-Based Feature Extraction.

Debanjan BorthakurArindam PaulDev KapilManob Jyoti Saikia
Published in: Healthcare (Basel, Switzerland) (2023)
This research concludes that the extremely randomized trees model presents superior predictive power for yoga pose recognition. This suggests a valuable avenue for future exploration in this domain. Moreover, the approach has significant potential for implementation on low-powered smartphones with minimal latency, thereby enabling real-time feedback for users practicing yoga at home.
Keyphrases
  • primary care
  • healthcare
  • double blind
  • open label
  • machine learning
  • high resolution
  • deep learning
  • randomized controlled trial
  • clinical trial
  • phase ii
  • study protocol