Artificial Intelligence and Data Analytics-Based Emotional Intelligence

SM Sundaram, TR Murgod, M Sowmya - … Applications of Deep …, 2023 - igi-global.com
With the advent of technology, we have seen drastic changes in the way of life. Right from
automation to improved security systems, technology got us covered. Machines deployed …

Affective Computing for Social Good Applications: Current Advances, Gaps and Opportunities in Conversational Setting

P Priya, M Firdaus, GV Singh, A Ekbal - European Conference on …, 2024 - Springer
Affective computing involves examining and advancing systems and devices capable of
identifying, comprehending, processing, and emulating human emotions, sentiment …

Audio-visual gated-sequenced neural networks for affect recognition

D Aspandi, F Sukno, BW Schuller… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The interest in automatic emotion recognition and the larger field of Affective Computing has
recently gained momentum. The current emergence of large, video-based affect datasets …

Deep learning for affective computing: Text-based emotion recognition in decision support

B Kratzwald, S Ilić, M Kraus, S Feuerriegel… - Decision support …, 2018 - Elsevier
Emotions widely affect human decision-making. This fact is taken into account by affective
computing with the goal of tailoring decision support to the emotional states of individuals …

HR affective computing

WJ Becker, SE Tuskey, CD Beugré - Handbook of Research on …, 2022 - elgaronline.com
Affective computing, which is a noteworthy field within the sphere of artificial intelligence,
interprets, analyzes, and reproduces human emotional expressions. More specifically …

IEEE Transactions on Affective Computing–Entering the 10th Year of Publication

E Andre - IEEE Transactions on Affective Computing, 2019 - dl.acm.org
IEEE Transactions on Affective Computing–Entering the 10th Year of Publication | IEEE
Transactions on Affective Computing skip to main content ACM Digital Library home ACM home …

Divide, conquer and combine: Hierarchical feature fusion network with local and global perspectives for multimodal affective computing

S Mai, H Hu, S Xing - Proceedings of the 57th annual meeting of …, 2019 - aclanthology.org
We propose a general strategy named 'divide, conquer and combine'for multimodal fusion.
Instead of directly fusing features at holistic level, we conduct fusion hierarchically so that …

Improving Personalisation in Valence and Arousal Prediction using Data Augmentation

M Nwadike, J Li, H Salam - arXiv preprint arXiv:2404.09042, 2024 - arxiv.org
In the field of emotion recognition and Human-Machine Interaction (HMI), personalised
approaches have exhibited their efficacy in capturing individual-specific characteristics and …

Affective computing as a tool for understanding emotion dynamics from physiology: A predictive modeling study of arousal and valence

TA D'Amelio, NM Bruno, LA Bugnon… - … and Demos (ACIIW), 2023 - ieeexplore.ieee.org
Affective computing has traditionally relied on predictive models that use summary
annotations to understand emotions, an approach that often fails to capture the continuous …

AffectFAL: Federated Active Affective Computing with Non-IID Data

Z Zhang, F Qi, S Li, C Xu - Proceedings of the 31st ACM International …, 2023 - dl.acm.org
Federated affective computing, which deploys traditional affective computing in a distributed
framework, achieves a trade-off between privacy and utility, and offers a wide variety of …