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Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition
Multimodal emotion recognition has attracted great interest recently and numerous
methodologies have been successfully investigated. However, the task requires the effective …
methodologies have been successfully investigated. However, the task requires the effective …
Deep spatio-temporal features for multimodal emotion recognition
Automatic emotion recognition has attracted great interest and numerous solutions have
been proposed, most of which focus either individually on facial expression or acoustic …
been proposed, most of which focus either individually on facial expression or acoustic …
Happy-anger emotions classifications from electrocardiogram signal for automobile driving safety and awareness
KN Minhad, SHM Ali, MBI Reaz - Journal of Transport & Health, 2017 - Elsevier
Develo** a system to monitor the physical and psychological states of a driver and alert
the driver is essential for accident prevention. Inspired by the advances in wireless …
the driver is essential for accident prevention. Inspired by the advances in wireless …
M2R2: Missing-Modality Robust emotion Recognition framework with iterative data augmentation
N Wang, H Cao, J Zhao, R Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article deals with the utterance-level modalities missing problem with uncertain patterns
on emotion recognition in conversation (ERC) task. Present models generally predict the …
on emotion recognition in conversation (ERC) task. Present models generally predict the …
Kristina: A knowledge-based virtual conversation agent
We present an intelligent embodied conversation agent with linguistic, social and emotional
competence. Unlike the vast majority of the state-of-the-art conversation agents, the …
competence. Unlike the vast majority of the state-of-the-art conversation agents, the …
Perception of emotions and body movement in the emilya database
In this paper, we examine the perception of emotions as well as the characterization and the
classification of emotional body expressions based on perceptual body cues ratings. Emilya …
classification of emotional body expressions based on perceptual body cues ratings. Emilya …
The AffectToolbox: Affect Analysis for Everyone
In the field of affective computing, where research continually advances at a rapid pace, the
demand for user-friendly tools has become increasingly apparent. In this paper, we present …
demand for user-friendly tools has become increasingly apparent. In this paper, we present …
[KNJIGA][B] Functional brain-heart interplay
V Catrambone, G Valenza - 2021 - Springer
Would you assess the performance of a soccer player by looking at them playing in the field
completely alone? Surely you would get overall information about their playing skills and …
completely alone? Surely you would get overall information about their playing skills and …
Multimodal multitask emotion recognition using images, texts and tags
Recently, multimodal emotion recognition received an increasing interest due to its potential
to improve performance by leveraging complementary sources of information. In this work …
to improve performance by leveraging complementary sources of information. In this work …
An empirical evaluation of methodologies used for emotion recognition via EEG signals
ABSTRACT A goal of brain–computer-interface (BCI) research is to accurately classify
participants' emotional status via objective measurements. While there has been a growth in …
participants' emotional status via objective measurements. While there has been a growth in …