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A View Independent Classification Framework for Yoga Postures.

Mustafa Chasmai1, Nirjhar Das2, Aman Bhardwaj3

  • 1Computer Science and Engineering, Indian Institute of Technology Delhi, Delhi, India.

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|September 19, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a yoga pose estimation method using human pose estimation and random forest classification. Accurate Yogasana recognition is crucial for healthy living and practice, with results validated across diverse datasets and conditions.

Keywords:
Machine learningPose estimationTransfer learningYogasana

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Area of Science:

  • Computer Vision
  • Sports Science
  • Machine Learning

Background:

  • Yoga is a globally recognized practice for health and well-being.
  • Correct posture in Yogasana is critical for efficacy and injury prevention.
  • Automated yoga pose recognition can aid in practice and instruction.

Purpose of the Study:

  • To develop and evaluate a robust yoga pose estimation system.
  • To assess the generalizability of the system across different conditions.
  • To provide a publicly available dataset and code for future research.

Main Methods:

  • Utilized transfer learning from human pose estimation models to extract 136 body key-points.
  • Trained a random forest classifier for Yogasana recognition.
  • Evaluated performance using a three-step scheme: unseen frames, subjects, and camera angles.

Main Results:

  • The system achieved reliable Yogasana estimation.
  • Generalizability was tested on unseen subjects and camera angles, demonstrating practical applicability.
  • Analysis revealed the critical impact of cross-validation methods on classification accuracy, highlighting potential pitfalls like target leakage.

Conclusions:

  • The developed method offers a promising approach for automated yoga pose estimation.
  • Validation on unseen subjects and camera angles is essential for real-world applications.
  • Careful consideration of cross-validation techniques is necessary to avoid misleading accuracy results in yoga classification research.