Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition

D Nguyen, K Nguyen, S Sridharan, D Dean… - Computer Vision and …, 2018 - Elsevier
Multimodal emotion recognition has attracted great interest recently and numerous
methodologies have been successfully investigated. However, the task requires the effective …

Deep spatio-temporal features for multimodal emotion recognition

D Nguyen, K Nguyen, S Sridharan… - 2017 IEEE winter …, 2017 - ieeexplore.ieee.org
Automatic emotion recognition has attracted great interest and numerous solutions have
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 …

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 …

Kristina: A knowledge-based virtual conversation agent

L Wanner, E André, J Blat, S Dasiopoulou… - Advances in Practical …, 2017 - Springer
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 …

Perception of emotions and body movement in the emilya database

N Fourati, C Pelachaud - IEEE Transactions on Affective …, 2016 - ieeexplore.ieee.org
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 …

The AffectToolbox: Affect Analysis for Everyone

S Mertes, D Schiller, M Dietz, E André… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

[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 …

Multimodal multitask emotion recognition using images, texts and tags

M Pagé Fortin, B Chaib-draa - Proceedings of the ACM workshop on …, 2019 - dl.acm.org
Recently, multimodal emotion recognition received an increasing interest due to its potential
to improve performance by leveraging complementary sources of information. In this work …

An empirical evaluation of methodologies used for emotion recognition via EEG signals

NS Hinvest, C Ashwin, F Carter, J Hook… - Social …, 2022 - Taylor & Francis
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 …