Artificial Intelligence and Data Analytics-Based Emotional Intelligence
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 …
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
Affective computing involves examining and advancing systems and devices capable of
identifying, comprehending, processing, and emulating human emotions, sentiment …
identifying, comprehending, processing, and emulating human emotions, sentiment …
Audio-visual gated-sequenced neural networks for affect recognition
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 …
recently gained momentum. The current emergence of large, video-based affect datasets …
Deep learning for affective computing: Text-based emotion recognition in decision support
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 …
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 …
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 …
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
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 …
Instead of directly fusing features at holistic level, we conduct fusion hierarchically so that …
Improving Personalisation in Valence and Arousal Prediction using Data Augmentation
In the field of emotion recognition and Human-Machine Interaction (HMI), personalised
approaches have exhibited their efficacy in capturing individual-specific characteristics and …
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
Affective computing has traditionally relied on predictive models that use summary
annotations to understand emotions, an approach that often fails to capture the continuous …
annotations to understand emotions, an approach that often fails to capture the continuous …
AffectFAL: Federated Active Affective Computing with Non-IID Data
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 …
framework, achieves a trade-off between privacy and utility, and offers a wide variety of …