The proposed work aims to apply the latest action detection, action recognition, and action classification methods for different Karate movements using the LSTM and the ST-GCN algorithms and proposes these movements in 3D using Video Inference for Human Body Pose and Shape Estimation (VIBE).
If you use this dataset for your research or work, please cite us accordingly: Ait-Bennacer, F.-E., Aaroud, A., Akodadi, K., & Cherradi, B. (2022). Applying Deep Learning and Computer Vision Techniques for an e-Sport and Smart Coaching System Using a Multiview Dataset: Case of Shotokan Karate. International Journal of Online and Biomedical Engineering (iJOE), 18(12), pp. 35–53. https://doi.org/10.3991/ijoe.v18i12.30893