A systematic review on affective computing: Emotion models, databases, and recent advances

Y Wang, W Song, W Tao, A Liotta, D Yang, X Li, S Gao… - Information …, 2022 - Elsevier
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review

J Zhang, Z Yin, P Chen, S Nichele - Information Fusion, 2020 - Elsevier
In recent years, the rapid advances in machine learning (ML) and information fusion has
made it possible to endow machines/computers with the ability of emotion understanding …

Self-Acceptance Study in the Korean Drama Series Our Beloved Summer (Intrinsic Analysis of the Main Character's Character)

Q Yurizka, MB Simanjuntak… - Prosiding …, 2022 - e-proceedings.iain-palangkaraya.ac …
Self-acceptance can make you feel happier and not worry about going through everyday life
because you can adapt to the environment so that the potential that exists in a person can …

[图书][B] The atlas of AI: Power, politics, and the planetary costs of artificial intelligence

K Crawford - 2021 - books.google.com
The hidden costs of artificial intelligence, from natural resources and labor to privacy and
freedom What happens when artificial intelligence saturates political life and depletes the …

Deep facial expression recognition: A survey

S Li, W Deng - IEEE transactions on affective computing, 2020 - ieeexplore.ieee.org
With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …

Leveraging recent advances in deep learning for audio-visual emotion recognition

L Schoneveld, A Othmani, H Abdelkawy - Pattern Recognition Letters, 2021 - Elsevier
Emotional expressions are the behaviors that communicate our emotional state or attitude to
others. They are expressed through verbal and non-verbal communication. Complex human …

Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review

MA Ebrahimighahnavieh, S Luo, R Chiong - Computer methods and …, 2020 - Elsevier
Alzheimer's Disease (AD) is one of the leading causes of death in developed countries.
From a research point of view, impressive results have been reported using computer-aided …

Facial emotion recognition using deep learning: review and insights

W Mellouk, W Handouzi - Procedia Computer Science, 2020 - Elsevier
Automatic emotion recognition based on facial expression is an interesting research field,
which has presented and applied in several areas such as safety, health and in human …

Deep learning for depression recognition with audiovisual cues: A review

L He, M Niu, P Tiwari, P Marttinen, R Su, J Jiang… - Information …, 2022 - Elsevier
With the acceleration of the pace of work and life, people are facing more and more
pressure, which increases the probability of suffering from depression. However, many …

Emotion recognition from unimodal to multimodal analysis: A review

K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …