Author:
Pradhan Anushka,Srivastava Subodh
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference40 articles.
1. Emotion recognition using physiological signals: laboratory vs. wearable sensors;Ragot,2017
2. G. Keren, T. Kirschstein, E. Marchi, F. Ringeval, B. Schuller, End-to-end learning for dimensional emotion recognition from physiological signals, in: 2017 IEEE International Conference on Multimedia and Expo (ICME), IEEE (2017) 985-990.
3. A comparative analysis of machine learning methods for emotion recognition using EEG and peripheral physiological signals;Doma;J. Big Data,2020
4. Reliable emotion recognition system based on dynamic adaptive fusion of forehead biopotentials and physiological signals;Khezri;Comput. Methods Programs Biomed.,2015
5. J. Chen, B. Hu, L. Xu, P. Moore and Y. Su, Feature-level fusion of multi-modal physiological signals for emotion recognition. In 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, (2015) 395-399.
Cited by
21 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献