Deep Learning for Human Affect Recognition: Insights and New Developments

@article{Rouast2019DeepLF,
  title={Deep Learning for Human Affect Recognition: Insights and New Developments},
  author={Philipp V. Rouast and M. Adam and R. Chiong},
  journal={ArXiv},
  year={2019},
  volume={abs/1901.02884}
}
  • Philipp V. Rouast, M. Adam, R. Chiong
  • Published 2019
  • Psychology, Computer Science, Mathematics
  • ArXiv
  • Automatic human affect recognition is a key step towards more natural human-computer interaction. Recent trends include recognition in the wild using a fusion of audiovisual and physiological sensors, a challenging setting for conventional machine learning algorithms. Since 2010, novel deep learning algorithms have been applied increasingly in this field. In this paper, we review the literature on human affect recognition between 2010 and 2017, with a special focus on approaches using deep… CONTINUE READING
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