Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation
Author:
Affiliation:
1. Shandong Normal University State Key Laboratory of High-end Server & Storage Technology,School of Information Science and Engineering,Jinan,China
Funder
Natural Science Foundation of Shandong Province
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9994793/9994847/09994936.pdf?arnumber=9994936
Reference17 articles.
1. Data augmentation for deep-learning-based electroencephalography
2. Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network
3. Emotion Recognition from Multimodal Physiological Signals for Emotion Aware Healthcare Systems
4. A Multimodal Database for Affect Recognition and Implicit Tagging
5. Multimodal Physiological Signal Emotion Recognition Based on Convolutional Recurrent Neural Network
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