Eye behaviour provides valuable information revealing one's higher cognitive functions and
state of affect. Although eye tracking is gaining ground in the research community, it is not …

The ability to detect users' emotions for the purpose of emotion engineering is currently one
of the main endeavors of machine learning in affective computing. Among the more common …

In this paper, we present a multimodal emotion recognition framework called EmotionMeter
that combines brain waves and eye movements. To increase the feasibility and wearability …

Emotion recognition is a crucial application in human–computer interaction. It is usually
conducted using facial expressions as the main modality, which might not be reliable. In this …

Abstract Background and Objective: The cognitive workload is an important component in
performance psychology, ergonomics, and human factors. Publicly available datasets are …

The need to adaptively manage computer systems and networks so as to offer good Quality
of Service (QoS) and Quality of Experience (QoE) with secure operation at relatively low …

Background Emotion classification remains a challenging problem in affective computing.
The large majority of emotion classification studies rely on electroencephalography (EEG) …

Affective computing focuses on technologies and theories that advance understanding of
human affect, considering emotion and cognition in the design of related technologies to …

In emotion-aware music recommender systems, the user's current emotion is identified and
considered in recommending music to him. We have two motivations to extend the existing …

Using multimodal fusion method to deal with emotion recognition task has become a trend.
The fusion vector can more comprehensively reflect the subject's emotional change state, so …