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논문검색

HiRENet: Novel Convolutional Neural Network Architecture using Hilbert-transformed and Raw Electroencephalogram for Subject-Independent Emotion Classification

목차

I. Introduction
II. Methods
1. Hilbert Transform
2. ShallowNet
3. ResCNN
3. HiRENet
4. Dataset
III. Results
1. Evaluation of HiRENet with Different Input Types
2. Performance Comparison with various CNN Models
References

저자정보

  • Minsu Kim Department of Electronic Engineering, Hanyang University
  • Chang-Hwan Im Department of Electronic Engineering, Hanyang University

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