HARNet: design and evaluation of a deep genetic algorithm for recognizing yoga postures
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Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03173-6.pdf
Reference31 articles.
1. Chaudhari, A., Dalvi, O., Ramade, O., Ambawade, D.: Yog-Guru: real-time yoga pose correction system using deep learning methods. In: 2021 International Conference on Communication Information and Computing Technology (ICCICT), pp. 1–6 (2021). https://doi.org/10.1109/ICCICT50803.2021.9509937
2. Trejo, E.W., Yuan, P.: Recognition of yoga poses through an interactive system with Kinect device. In: 2018 2nd International Conference on Robotics and Automation Sciences (ICRAS), pp. 1–5 (2018). https://doi.org/10.1109/ICRAS.2018.8443267
3. Rishan, F., De Silva, B., Alawathugoda, S., Nijabdeen, S., Rupasinghe, L., Liyanapathirana, C.: Infinity yoga tutor: yoga posture detection and correction system. In: 2020 5th International Conference on Information Technology Research (ICITR), pp. 1–6 (2020). https://doi.org/10.1109/ICITR51448.2020.9310832
4. Jose, J., Shailesh, S.: Yoga Asana identification: a deep learning approach. IOP Conf. Ser. Mater. Sci. Eng. 1110(1), 012002 (2021). https://doi.org/10.1088/1757-899x/1110/1/012002
5. Verma, M., Kumawat, S., Nakashima, Y., Raman, S.: Yoga-82: a new dataset for fine-grained classification of human poses. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 4472–4479 (2020)
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