• Priyanka P
  • Guruvishnu M
  • Madhumitha S
  • Kavitha S
  • Saroja M N
Keywords: image classification, neural network, CNN, ResNet50


Image classification is broadly used in almost all the fields. It can be used in medical, military, surveillance and many other fields. In this paper, we carried out image classification for four classes of exercise poses. Out of all available methods for image classification, we chose neural networks for classification. The CNN and ResNet50 algorithms were implemented and results were included in this paper. This can be applied in various exercise related fields like exercise monitoring, exercise posture correctness, virtual exercise training, etc.


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How to Cite
P, P., M, G., S, M., S, K., & M N, S. (2022). EXERCISE POSE PREDICTION USING CONVOLUTIONAL NEURAL NETWORK (CNN) AND RESIDUAL NETWORKS (ResNet). Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 8(3), 27-30. https://doi.org/10.33130/AJCT.2022v08i03.005

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