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HierarchicalNets for multi level hierarchical classification of yoga poses
Manav Barot1, Priyank Thakkar2, Vijay Ukani1
1Computer Science and Engineering Department, Institute of Technology, Nirma University, Ahmedabad, India.
Scientific Reports
|May 30, 2026
Summary
This study introduces hierarchical vision transformers for precise yoga pose classification, significantly improving accuracy in computer vision applications for healthcare and physical therapy.
Area of Science:
- Computer Vision
- Artificial Intelligence
- Healthcare Technology
Background:
- Human pose estimation is crucial for healthcare applications like injury prevention and personalized rehabilitation.
- Accurate yoga pose estimation enhances physical therapy outcomes and promotes safe practice.
- Existing methods lack the granularity to differentiate subtle variations in yoga postures.
Purpose of the Study:
- To develop advanced hierarchical vision transformer architectures for fine-grained yoga pose classification.
- To improve the accuracy of identifying and classifying complex yoga postures.
- To enhance the utility of computer vision in yoga-based physical therapy and wellness.
Main Methods:
- Proposed four novel hierarchical vision transformer architectures.
- Integrated hierarchical class label information directly into the classification models.
- Focused on identifying subtle differences between visually similar yoga poses.
Main Results:
- Achieved Top-1 accuracy scores of 96.79% (Level 1), 95.64% (Level 2), and 93.07% (Level 3).
- Significantly surpassed previous state-of-the-art benchmarks in yoga pose classification.
- Demonstrated superior performance in distinguishing between nuanced yoga postures.
Conclusions:
- The novel hierarchical vision transformer approach offers a substantial advancement in yoga pose classification accuracy.
- This technology has the potential to significantly improve yoga-based rehabilitation and injury prevention.
- The fine-grained classification capabilities can lead to more personalized and effective wellness programs.
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