References

• 2018Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection1,356 cited
• 2018EmotionMeter: A Multimodal Framework for Recognizing Human Emotions1,274 cited
• 2020Self-Supervised ECG Representation Learning for Emotion Recognition388 cited
• 2019A dataset of continuous affect annotations and physiological signals for emotion analysis246 cited
• 2017Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine162 cited
• 2017Stress Assessment Based on Decision Fusion of EEG and fNIRS Signals114 cited
• 2019Continuous stress detection using the sensors of commercial smartwatch107 cited
• 2021Stress Detection by Machine Learning and Wearable Sensors102 cited
• 2019An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals92 cited
• 2021A Transformer Architecture for Stress Detection from ECG74 cited
• 2019Multi-target affect detection in the wild56 cited
• 2020Emotion Assessment Using Feature Fusion and Decision Fusion Classification Based on Physiological Data: Are We There Yet?56 cited
• 2019A Multichannel Convolutional Neural Network Architecture for the Detection of the State of Mind Using Physiological Signals from Wearable Devices47 cited
• 2020Attention-Block Deep Learning Based Features Fusion in Wearable Social Sensor for Mental Wellbeing Evaluations