Personalization of Emotion Recognition for Everyday Life Using Physiological Signals From Wearables
Author:
Affiliation:
1. Emognition Research Group, Wroclaw University of Science and Technology,Department of Artificial Intelligence,Wroclaw,Poland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10085961/10085990/10086031.pdf?arnumber=10086031
Reference29 articles.
1. AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups
2. DEAP: A Database for Emotion Analysis ;Using Physiological Signals
3. K-emocon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations;park;Scientific Data,2020
4. Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables
5. A Multimodal Database for Affect Recognition and Implicit Tagging
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1. Image-based facial emotion recognition using convolutional neural network on emognition dataset;Scientific Reports;2024-06-23
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