2 days ago · In this work we will focus on modeling affective processing, an important component to enable basic emotional capabilities. This component was developed with the aim of generating affective responses in the presence of stimuli, necessary to feed a basic emotion model already proposed within our research group.

4 days ago · MER2025 is the third year of our MER series of challenges, aiming to bring together researchers in the affective computing community to explore emerging trends and future directions in the field. Previously, MER2023 focused on multi-label learning, noise robustness, and semi-supervised learning, while MER2024 introduced a new track dedicated to open-vocabulary emotion recognition. This year ...

Oct 25, 2023 · For validation, we used a classical machine learning algorithm 26 for both intra-subject and cross-subject affective computing and a state-of-the-art algorithm utilizing a contrastive...

Mar 22, 2020 · Machine learning (ML) is a component of Artificial Intelligence (AI) that provides machines with the ability to automatically learn and perform tasks without specific programming, making it...

2 days ago · An affective brain-computer interface (aBCI) has demonstrated great potential in the field of emotion recognition. However, existing aBCI models encounter significant challenges in explainability and the effective fusion of multi-frequency and multi-region features, which greatly limits their practical applicability.

Feb 28, 2023 · With the advancement in AI techniques, a number of machine learning and deep learning algorithms can be applied for multimodal affective computing. The objective of this chapter is to provide a clear idea on the various machine learning and deep learning methods used for multimodal affect computing.

Jan 19, 2022 · In this paper, we reviewed many algorithms and learning models that have tried to mimic human emotions and human learning and scratched a certain surface of Affective Computing.

Apr 25, 2025 · Affective Computing [] was introduced amid a growing academic interest in emotion.Human-computer interaction (HCI) researchers in this space have focused on Electromyography (EMG) to measure emotional facial expressions (e.g., Hazlett []) or use computer vision techniques to classify facial markers based on Ekman’s [] discrete emotions.Such classifiers have grown in popularity, and today are ...

3 days ago · Emotion recognition has demonstrated significant application value across various fields, particularly in public safety, healthcare, and human–computer interaction, showing broad prospects for ...

6 days ago · The concepts of generalization and differentiation are formulated by Kashereninova (Windholz, 1989) through the tactile stimuli experiments on dogs.In the field of conditioned reflexes, Watson’s Albert experiment (Watson, 2017) demonstrates the generalization process and transitions of conditioned affective associative memory.The reinforcement law and extinction law correspond to the ...