Neural decoding of EEG signals with machine learning: a systematic review
Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …
Mapping the passions: Toward a high-dimensional taxonomy of emotional experience and expression
What would a comprehensive atlas of human emotions include? For 50 years, scientists
have sought to map emotion-related experience, expression, physiology, and recognition in …
have sought to map emotion-related experience, expression, physiology, and recognition in …
Effects of music therapy as an alternative treatment on depression in children and adolescents with ADHD by activating serotonin and improving stress coping ability
JI Park, IH Lee, SJ Lee, RW Kwon, EA Choo… - … medicine and therapies, 2023 - Springer
Objective The objective of this study was to determine the effect of music therapy as an
alternative treatment on depression in children and adolescents with attention-deficit …
alternative treatment on depression in children and adolescents with attention-deficit …
[HTML][HTML] Virtual reality facial emotion recognition in social environments: An eye-tracking study
CNW Geraets, SK Tuente, BP Lestestuiver… - Internet …, 2021 - Elsevier
Background Virtual reality (VR) enables the administration of realistic and dynamic stimuli
within a social context for the assessment and training of emotion recognition. We tested a …
within a social context for the assessment and training of emotion recognition. We tested a …
Behavioral and physiological signals-based deep multimodal approach for mobile emotion recognition
With the rapid development of mobile and wearable devices, it is increasingly possible to
access users' affective data in a more unobtrusive manner. On this basis, researchers have …
access users' affective data in a more unobtrusive manner. On this basis, researchers have …
Deep learning classification of neuro-emotional phase domain complexity levels induced by affective video film clips
S Aydın - IEEE Journal of Biomedical and Health Informatics, 2019 - ieeexplore.ieee.org
In the present article, a novel emotional complexity marker is proposed for classification of
discrete emotions induced by affective video film clips. Principal Component Analysis (PCA) …
discrete emotions induced by affective video film clips. Principal Component Analysis (PCA) …
A novel approach to cross dataset studies in facial expression recognition
Recognizing facial expressions is a challenging task both for computers and humans.
Although recent deep learning-based approaches are achieving high accuracy results in …
Although recent deep learning-based approaches are achieving high accuracy results in …
Ethical considerations on affective computing: an overview
L Devillers, R Cowie - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
Affective computing develops systems, which recognize or influence aspects of human life
related to emotion, including feelings and attitudes. Significant potential for both good and …
related to emotion, including feelings and attitudes. Significant potential for both good and …
How social information impacts action in rodents and humans: the role of the prefrontal cortex and its connections
HW Kietzman, SL Gourley - Neuroscience & Biobehavioral Reviews, 2023 - Elsevier
Day-to-day choices often involve social information and can be influenced by prior social
experience. When making a decision in a social context, a subject might need to: 1) …
experience. When making a decision in a social context, a subject might need to: 1) …
Emotionless: Privacy-preserving speech analysis for voice assistants
Voice-enabled interactions provide more human-like experiences in many popular IoT
systems. Cloud-based speech analysis services extract useful information from voice input …
systems. Cloud-based speech analysis services extract useful information from voice input …