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Deep learning-based emotion detection
  • Yuwei Chen ,
  • Jianyu He
Yuwei Chen
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Jianyu He
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Since the deep learning methods used in current face recognition do not balance well between recognition rate and recognition speed, the present work proposed a face expression recognition model based on multilayer feature fusion with lightweight convolutional networks. The model is tested on two commonly used real expression datasets, FER- 2013 and AffectNet, the accuracy of ms_model_M is 74.35% and 56.67%, respectively, and the accuracy of the traditional MovbliNet model is 74.11% and 56.48% in the tests of these two datasets.
2022Published in Journal of Computer and Communications volume 10 issue 02 on pages 57-71. 10.4236/jcc.2022.102005