Deep learning for human affect recognition: Insights and new developments

PV Rouast, MTP Adam, R Chiong - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …

COLD fusion: Calibrated and ordinal latent distribution fusion for uncertainty-aware multimodal emotion recognition

MK Tellamekala, S Amiriparian… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Automatically recognising apparent emotions from face and voice is hard, in part because of
various sources of uncertainty, including in the input data and the labels used in a machine …

Acoustic and lexical sentiment analysis for customer service calls

B Li, D Dimitriadis, A Stolcke - ICASSP 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
We describe the development of a sentiment analysis system for customer service calls,
starting with the data acquisition and labeling, and proceeding to the algorithmic information …

Exploring the contextual factors affecting multimodal emotion recognition in videos

P Bhattacharya, RK Gupta… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Emotional expressions form a key part of user behavior on today's digital platforms. While
multimodal emotion recognition techniques are gaining research attention, there is a lack of …

A review of voice-base person identification: state-of-the-art

CO Folorunso, OS Asaolu… - Covenant …, 2019 - journals.covenantuniversity.edu.ng
Automated person identification and authentication systems are useful for national security,
integrity of electoral processes, prevention of cybercrimes and many access control …

Fusion of heart rate variability and pulse rate variability for emotion recognition using lagged poincare plots

A Goshvarpour, A Abbasi, A Goshvarpour - Australasian physical & …, 2017 - Springer
Designing an efficient automatic emotion recognition system based on physiological signals
has attracted great interests within the research of human–machine interactions. This study …

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 …

Expression‐EEG Bimodal Fusion Emotion Recognition Method Based on Deep Learning

Y Lu, H Zhang, L Shi, F Yang, J Li - … and Mathematical Methods …, 2021 - Wiley Online Library
As one of the key issues in the field of emotional computing, emotion recognition has rich
application scenarios and important research value. However, the single biometric …

Comparing supervised and unsupervised approaches to multimodal emotion recognition

MF Carbonell, M Boman, P Laukka - PeerJ Computer Science, 2021 - peerj.com
We investigated emotion classification from brief video recordings from the GEMEP
database wherein actors portrayed 18 emotions. Vocal features consisted of acoustic …

A hand gesture action-based emotion recognition system by 3D image sensor information derived from Leap Motion sensors for the specific group with restlessness …

IJ Ding, MC Hsieh - Microsystem Technologies, 2022 - Springer
The popular 3D image sensor on market urges fast developments of hand gesture-based
applications. With utilizations of 3D space hand gesture data, hand gesture command …