Commercial use of emotion artificial intelligence (AI): implications for psychiatry
Abstract Purpose of Review Emotion artificial intelligence (AI) is technology for emotion
detection and recognition. Emotion AI is expanding rapidly in commercial and government …
detection and recognition. Emotion AI is expanding rapidly in commercial and government …
Measurement of multimodal physiological signals for stimulation detection by wearable devices
The presence of stimuli and the consequent reactions undoubtedly reflect in experience-
related changes of physiological parameters, which can be monitored by wearable devices …
related changes of physiological parameters, which can be monitored by wearable devices …
[HTML][HTML] A method for improving bot effectiveness by recognising implicit customer intent in contact centre conversations
Contact centre systems are increasingly using intelligent voicebots and chatbots. These
solutions are constantly evolving and improving. One of the main tasks of a virtual assistant …
solutions are constantly evolving and improving. One of the main tasks of a virtual assistant …
Affective state estimation based on Russell's model and physiological measurements
Affective states are psycho-physiological constructs connecting mental and physiological
processes. They can be represented in terms of arousal and valence according to the …
processes. They can be represented in terms of arousal and valence according to the …
[HTML][HTML] MIFAD-net: multi-layer interactive feature fusion network with angular distance loss for face emotion recognition
W Cai, M Gao, R Liu, J Mao - Frontiers in psychology, 2021 - frontiersin.org
Understanding human emotions and psychology is a critical step toward realizing artificial
intelligence, and correct recognition of facial expressions is essential for judging emotions …
intelligence, and correct recognition of facial expressions is essential for judging emotions …
CNN-Transformer based emotion classification from facial expressions and body gestures
B Karatay, D Beştepe, K Sailunaz, T Özyer… - Multimedia Tools and …, 2024 - Springer
Classifying the correct emotion from different data sources such as text, images, videos, and
speech has been an inspiring research area for researchers from various disciplines …
speech has been an inspiring research area for researchers from various disciplines …
[HTML][HTML] Machine learning in biosignals processing for mental health: A narrative review
Machine Learning (ML) offers unique and powerful tools for mental health practitioners to
improve evidence-based psychological interventions and diagnoses. Indeed, by detecting …
improve evidence-based psychological interventions and diagnoses. Indeed, by detecting …
EEG-based emotion recognition using logistic regression with Gaussian kernel and Laplacian prior and investigation of critical frequency bands
Emotion plays a nuclear part in human attention, decision-making, and communication.
Electroencephalogram (EEG)-based emotion recognition has developed a lot due to the …
Electroencephalogram (EEG)-based emotion recognition has developed a lot due to the …
Group synchrony for emotion recognition using physiological signals
During group interactions, we react and modulate our emotions and behaviour to the group
through phenomena including emotion contagion and physiological synchrony. Previous …
through phenomena including emotion contagion and physiological synchrony. Previous …
The application of electroencephalogram in driving safety: current status and future prospects
Y Peng, Q Xu, S Lin, X Wang, G Xiang… - Frontiers in …, 2022 - frontiersin.org
The driver is one of the most important factors in the safety of the transportation system. The
driver's perceptual characteristics are closely related to driving behavior, while …
driver's perceptual characteristics are closely related to driving behavior, while …