ArticleThe Journal of supercomputing2022
Development of a yoga posture coaching system using an interactive display based on transfer learning.
Article in The Journal of supercomputing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Integrating skeleton based representations for robust yoga pose classification using deep learning models.Scientific reports · 2026Article
- HierarchicalNets for multi level hierarchical classification of yoga poses.Scientific reports · 2026Article
- Smart Physiotherapy: Advancing Arm-Based Exercise Classification with PoseNet and Ensemble Models.Sensors (Basel, Switzerland) · 2024Article
- Therapeutic Exercise Recognition Using a Single UWB Radar with AI-Driven Feature Fusion and ML Techniques in a Real Environment.Sensors (Basel, Switzerland) · 2024Article
- E-Textiles for Sports and Fitness Sensing: Current State, Challenges, and Future Opportunities.Sensors (Basel, Switzerland) · 2024Review
- Yoga Pose Estimation Using Angle-Based Feature Extraction.Healthcare (Basel, Switzerland) · 2023Article
- A Survey on Artificial Intelligence in Posture Recognition.Computer modeling in engineering & sciences : CMES · 2023Article
- Deep Learning-Based Yoga Posture Recognition Using the Y_PN-MSSD Model for Yoga Practitioners.Healthcare (Basel, Switzerland) · 2023Article
- Reliability of 3D Depth Motion Sensors for Capturing Upper Body Motions and Assessing the Quality of Wheelchair Transfers.Sensors (Basel, Switzerland) · 2022Article
- A Computer Vision-Based Yoga Pose Grading Approach Using Contrastive Skeleton Feature Representations.Healthcare (Basel, Switzerland) · 2021Article
- Enhancing Yoga Pose Recognition through a Multimodal Hybrid Approach with Attention Mechanism and Late Fusion on Yoga For All-30.International journal of yogaArticle
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Yoga is a form of exercise that is beneficial for health, focusing on physical, mental, and spiritual connections. However, practicing yoga and adopting incorrect postures can cause health problems, such as muscle sprains and pain. In this study, we propose the development of a yoga posture coaching system using an interactive display, based on a transfer learning technique. The 14 different yoga postures were collected from an RGB camera, and eight participants were required to perform each yoga posture 10 times. Data augmentation was applied to oversample and prevent over-fitting of the training datasets. Six transfer learning models (TL-VGG16-DA, TL-VGG19-DA, TL-MobileNet-DA, TL-MobileNetV2-DA, TL-InceptionV3-DA, and TL-DenseNet201-DA) were exploited for classification tasks to select the optimal model for the yoga coaching system, based on evaluation metrics. As a result, the TL-MobileNet-DA model was selected as the optimal model, showing an overall accuracy of 98.43%, sensitivity of 98.30%, specificity of 99.88%, and Matthews correlation coefficient of 0.9831. The study presented a yoga posture coaching system that recognized the yoga posture movement of users, in real time, according to the selected yoga posture guidance and can coach them to avoid incorrect postures.
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Registered trials
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