An efficient LSTM network for emotion recognition from multichannel EEG signals
Most previous EEG-based emotion recognition methods studied hand-crafted EEG features
extracted from different electrodes. In this article, we study the relation among different EEG …
extracted from different electrodes. In this article, we study the relation among different EEG …
[HTML][HTML] A dataset of continuous affect annotations and physiological signals for emotion analysis
From a computational viewpoint, emotions continue to be intriguingly hard to understand. In
research, a direct and real-time inspection in realistic settings is not possible. Discrete …
research, a direct and real-time inspection in realistic settings is not possible. Discrete …
Emotional experience in uncomfortable indoor environments: A combined examination of personal factors
Emotional experience is a critical element in human perception and interaction with the
social environment. These experiences, while partially determined by internal human …
social environment. These experiences, while partially determined by internal human …
Rcea: Real-time, continuous emotion annotation for collecting precise mobile video ground truth labels
Collecting accurate and precise emotion ground truth labels for mobile video watching is
essential for ensuring meaningful predictions. However, video-based emotion annotation …
essential for ensuring meaningful predictions. However, video-based emotion annotation …
Few-shot learning for fine-grained emotion recognition using physiological signals
Fine-grained emotion recognition can model the temporal dynamics of emotions, which is
more precise than predicting one emotion retrospectively for an activity (eg, video clip …
more precise than predicting one emotion retrospectively for an activity (eg, video clip …
Rcea-360vr: Real-time, continuous emotion annotation in 360 vr videos for collecting precise viewport-dependent ground truth labels
Precise emotion ground truth labels for 360° virtual reality (VR) video watching are essential
for fine-grained predictions under varying viewing behavior. However, current annotation …
for fine-grained predictions under varying viewing behavior. However, current annotation …
Weakly-supervised learning for fine-grained emotion recognition using physiological signals
Instead of predicting just one emotion for one activity (eg, video watching), fine-grained
emotion recognition enables more temporally precise recognition. Previous works on fine …
emotion recognition enables more temporally precise recognition. Previous works on fine …
[HTML][HTML] Effect of sound sequence on soundscape emotions
Z Han, J Kang, Q Meng - Applied Acoustics, 2023 - Elsevier
This study analysed the effect of sound sequence on soundscape emotions with respect to
three aspects of sound sources: the number of sound source/s, changing trends in the …
three aspects of sound sources: the number of sound source/s, changing trends in the …
Investigating the relationship between momentary emotion self-reports and head and eye movements in hmd-based 360 vr video watching
Inferring emotions from Head Movement (HM) and Eye Movement (EM) data in 360° Virtual
Reality (VR) can enable a low-cost means of improving users' Quality of Experience …
Reality (VR) can enable a low-cost means of improving users' Quality of Experience …
[HTML][HTML] Validation and application of the Non-Verbal Behavior Analyzer: An automated tool to assess non-verbal emotional expressions in psychotherapy
Background Emotions play a key role in psychotherapy. However, a problem with examining
emotional states via self-report questionnaires is that the assessment usually takes place …
emotional states via self-report questionnaires is that the assessment usually takes place …