TCCT-Net: Two-Stream Network Architecture for Fast and Efficient Engagement Estimation via Behavioral Feature Signals
Engagement analysis finds various applications in healthcare education advertisement
services. Deep Neural Networks used for analysis possess complex architecture and need …
services. Deep Neural Networks used for analysis possess complex architecture and need …
A real-world dataset of group emotion experiences based on physiological data
Affective computing has experienced substantial advancements in recognizing emotions
through image and facial expression analysis. However, the incorporation of physiological …
through image and facial expression analysis. However, the incorporation of physiological …
Acting Emotions: a comprehensive dataset of elicited emotions
Emotions encompass physiological systems that can be assessed through biosignals like
electromyography and electrocardiography. Prior investigations in emotion recognition have …
electromyography and electrocardiography. Prior investigations in emotion recognition have …
Ensemble learning to assess dynamics of affective experience ratings and physiological change
The congruence between affective experiences and physiological changes has been a
debated topic for centuries. Recent technological advances in measurement and data …
debated topic for centuries. Recent technological advances in measurement and data …
A hybrid transposed attention based deep learning model for wearable and explainable stress recognition
Stress is a prevalent issue in modern society which affects a large percentage of the
population. Stress has negative effects on human daily lives such as reduced memory and …
population. Stress has negative effects on human daily lives such as reduced memory and …
Deep Representation Learning for Multimodal Emotion Recognition Using Physiological Signals
Physiological signal analysis has gained a lot of interest in recent years and has been used
in a variety of fields including emotion recognition, activity recognition, and health …
in a variety of fields including emotion recognition, activity recognition, and health …
Special Issue on Unobtrusive Physiological Measurement Methods for Affective Applications
In The formative years of Affective Computing [1], from the late 1990s and into the early
2000s, a significant fraction of research attention was focused on the development of …
2000s, a significant fraction of research attention was focused on the development of …
BEC-1D: Biosignal-Based Emotions Classification with 1D ConvNet
JE Luján-García, MA Cardoso-Moreno… - … Conference on Artificial …, 2023 - Springer
Biomedical signals can be used to diagnose several affections of the human body.
Nonetheless, they can also be used to describe a more general behavior of specific organs …
Nonetheless, they can also be used to describe a more general behavior of specific organs …