Emotion modelling for social robotics applications: a review
Robots of today are eager to leave constrained industrial environments and embrace
unexplored and unstructured areas, for extensive applications in the real world as service …
unexplored and unstructured areas, for extensive applications in the real world as service …
Biometric and emotion identification: An ECG compression based method
We present an innovative and robust solution to both biometric and emotion identification
using the electrocardiogram (ECG). The ECG represents the electrical signal that comes …
using the electrocardiogram (ECG). The ECG represents the electrical signal that comes …
Multimodal emotion evaluation: A physiological model for cost-effective emotion classification
Emotional responses are associated with distinct body alterations and are crucial to foster
adaptive responses, well-being, and survival. Emotion identification may improve peoples' …
adaptive responses, well-being, and survival. Emotion identification may improve peoples' …
Dynamic brain entropy predicts risky decision-making across transdiagnostic dimensions of psychopathology
S Ji, F Chen, S Li, C Zhou, C Liu, H Yu - Behavioural Brain Research, 2025 - Elsevier
Objectives Maladaptive risky decision-making is a common pathological behavior among
patients with various psychiatric disorders. Brain entropy, which measures the complexity of …
patients with various psychiatric disorders. Brain entropy, which measures the complexity of …
The different impacts of functional network centrality and connectivity on the complexity of brain signals in healthy control and first-episode drug-naïve patients with …
S Ji, W An, J Zhang, C Zhou, C Liu, H Yu - Brain Imaging and Behavior, 2024 - Springer
In recent years, brain signal complexity has gained attention as an indicator of brain well-
being and a predictor of disease and dysfunction. Brain entropy quantifies this complexity …
being and a predictor of disease and dysfunction. Brain entropy quantifies this complexity …
Remote Emotion Recognition Using Continuous-Wave Bio-Radar System
The Bio-Radar is herein presented as a non-contact radar system able to capture vital signs
remotely without requiring any physical contact with the subject. In this work, the ability to …
remotely without requiring any physical contact with the subject. In this work, the ability to …
Decoding pain: prediction under different emotional contexts through physiological signals
B Alves, S Brás, R Sebastião - International Journal of Data Science and …, 2024 - Springer
Pain recognition is a challenging yet crucial problem. Common methods used to measure
pain are based on self-reported tools; however, not every person can communicate it …
pain are based on self-reported tools; however, not every person can communicate it …
Extended-alphabet finite-context models
The normalized relative compression (NRC) is a recent dissimilarity measure, related to the
Kolmogorov complexity. It has been successfully used in different applications, like DNA …
Kolmogorov complexity. It has been successfully used in different applications, like DNA …
Shared increased entropy of brain signals across patients with different mental illnesses: A coordinate-based activation likelihood estimation meta-analysis
S Ji, Y Zhang, N Chen, X Liu, Y Li, X Shao… - Brain Imaging and …, 2022 - Springer
Entropy is a measurement of brain signal complexity. Studies have found
increased/decreased entropy of brain signals in psychiatric patients. There is no consistent …
increased/decreased entropy of brain signals in psychiatric patients. There is no consistent …
Emotionally-aware multimodal interfaces: Preliminary work on a generic affective modality
In interactive systems, knowing the user's emotional state is not only important to understand
and improve overall user experience, but also of the utmost relevance in scenarios where …
and improve overall user experience, but also of the utmost relevance in scenarios where …