Multimodal hierarchical cnn feature fusion for stress detection

HIGHLIGHTS

• who: RADHIKA KUTTALA and collaborators from the of Electrical Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Ettimadai, Coimbatore, India of Science, University of Canberra, Bruce, Canberra, ACT, Australia have published the article: Multimodal Hierarchical CNN Feature Fusion for Stress Detection, in the Journal: (JOURNAL)
• what: The authors develop a hierarchical feature set by concatenating multi-level CNN features for each modality. The authors propose a multimodal hierarchical CNN feature fusion model that uses complementary features from various layers to enhance the performance rate of stress detection models.
• how: This paper presents . . .
  

   

  

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