The Novel EfficientNet Architecture-Based System and Algorithm to Predict Complex Human Emotions
Author:
Affiliation:
1. Department of Computer Engineering, Keimyung University, Daegu 42601, Republic of Korea
2. Department of Biomedical Engineering, Keimyung University, Daegu 42601, Republic of Korea
Abstract
Funder
the Ministry of Health and Welfare, Republic of Korea
the Korea government
the National Research Foundation of Korea
Development of camera-based non-contact medical device with universal design
Publisher
MDPI AG
Link
https://www.mdpi.com/1999-4893/17/7/285/pdf
Reference42 articles.
1. Cha, W.-Y., Shin, D.-K., and Shin, D.-I. (2017, January 10–13). Analysis and Comparison of The Emotion Recognition by Multiple Bio-Signal. Proceedings of the Korean Information Science Society Conference, Seoul, Republic of Korea.
2. Kortelainen, J., Tiinanen, S., Huang, X., Li, X., Laukka, S., Pietikäinen, M., and Seppänen, T. (September, January 28). Multimodal emotion recognition by combining physiological signals and facial expressions: A preliminary study. Proceedings of the 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, USA.
3. Emotion recognition through facial expression analysis based on a neurofuzzy network;Ioannou;Neural Netw.,2005
4. Facial Emotion Recognition Based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation;Zhang;IEEE Access,2016
5. Independence and bipolarity in the structure of current affect;Barrett;J. Pers. Soc. Psychol.,1998
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