Results 11 to 20 of about 1,837,819 (299)

Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review

open access: yesSensors, 2023
In recent years, the rapid development of sensors and information technology has made it possible for machines to recognize and analyze human emotions. Emotion recognition is an important research direction in various fields.
Yujian Cai, Xingguang Li, Jinsong Li
doaj   +3 more sources

Emotion recognition in the human face and voice [PDF]

open access: yes, 2015
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonAt a perceptual level, faces and voices consist of very different sensory inputs and therefore, information processing from one modality can be ...
Kuhn, Lisa Katharina
core   +7 more sources

Music emotion representation based on non-negative matrix factorization algorithm and user label information [PDF]

open access: yesPeerJ Computer Science, 2023
Music emotion representation learning forms the foundation of user emotion recognition, addressing the challenges posed by the vast volume of digital music data and the scarcity of emotion annotation data.
Yuan Tian
doaj   +2 more sources

A Deep Learning Method Using Gender-Specific Features for Emotion Recognition

open access: yesSensors, 2023
Speech reflects people’s mental state and using a microphone sensor is a potential method for human–computer interaction. Speech recognition using this sensor is conducive to the diagnosis of mental illnesses.
Li-Min Zhang   +5 more
doaj   +1 more source

Emotion Recognition in Cats [PDF]

open access: yesAnimals, 2020
Recent studies demonstrated that cats form social bonds with both conspecifics and humans. One of the key factors regulating social interactions is the transfer of emotions between the individuals. The present study aimed at investigating cats’ spontaneous ability to match acoustic and visual signals for the recognition of both conspecific and human ...
Angelo Quaranta   +3 more
openaire   +4 more sources

Empathy, Emotion Recognition, and Paranoia in the General Population

open access: yesFrontiers in Psychology, 2022
BackgroundParanoia is associated with a multitude of social cognitive deficits, observed in both clinical and subclinical populations. Empathy is significantly and broadly impaired in schizophrenia, yet its relationship with subclinical paranoia is ...
Kendall Beals   +2 more
doaj   +1 more source

Mobile facial affect recognition and real-time social experiences in serious mental illness

open access: yesSchizophrenia Research: Cognition, 2022
Background: Emotion recognition deficits are linked with social dysfunction in psychosis, as is inaccurate self-assessment of emotion recognition abilities.
Emma M. Parrish   +7 more
doaj   +1 more source

Associations of emotion recognition, loneliness, and social functioning in euthymic patients with bipolar disorder

open access: yesKaohsiung Journal of Medical Sciences, 2022
Emotion recognition deficit is related to impaired community functioning. Loneliness is also associated with impaired social performance. However, the way in which emotion recognition and loneliness may contribute to social functioning remains unclear in
Chia Ning Lee   +9 more
doaj   +1 more source

Investigation of the Effect of Increased Dimension Levels in Speech Emotion Recognition

open access: yesIEEE Access, 2022
In human-machine interaction systems, speech emotion recognition plays a key role. Recognition of categorical emotions has made a great improvement during the last few decades, but emotion recognition of spontaneous speech is still very challenging. This
Haiyan Wang, Xiaohui Zhao, Yanping Zhao
doaj   +1 more source

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies [PDF]

open access: yes, 2021
This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use

core   +2 more sources

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