[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
Emotion recognition in EEG signals using deep learning methods: A review
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …
planning, reasoning, and other mental states. As a result, they are considered a significant …
A novel medical diagnosis model for COVID-19 infection detection based on deep features and Bayesian optimization
A pneumonia of unknown causes, which was detected in Wuhan, China, and spread rapidly
throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands …
throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands …
An integrated multitasking intelligent bearing fault diagnosis scheme based on representation learning under imbalanced sample condition
Accurate bearing fault diagnosis is of great significance of the safety and reliability of rotary
mechanical system. In practice, the sample proportion between faulty data and healthy data …
mechanical system. In practice, the sample proportion between faulty data and healthy data …
Multi-disease prediction based on deep learning: a survey
S **e, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …
AI's research in the medical field have allowed people to see the excellent prospects of the …
Emotion-semantic-aware dual contrastive learning for epistemic emotion identification of learner-generated reviews in MOOCs
Identifying the epistemic emotions of learner-generated reviews in massive open online
courses (MOOCs) can help instructors provide adaptive guidance and interventions for …
courses (MOOCs) can help instructors provide adaptive guidance and interventions for …
Long dialogue emotion detection based on commonsense knowledge graph guidance
Dialogue emotion detection is always challenging due to human subjectivity and the
randomness of dialogue content. In a conversation, the emotion of each person often …
randomness of dialogue content. In a conversation, the emotion of each person often …
Emotion recognition from EEG signal focusing on deep learning and shallow learning techniques
Recently, electroencephalogram-based emotion recognition has become crucial in enabling
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …
SPWVD-CNN for automated detection of schizophrenia patients using EEG signals
Schizophrenia (SZ) is a psychiatric disorder characterized by cognitive dysfunctions,
hallucinations, and delusions, which may lead to lifetime disability. Detection and diagnosis …
hallucinations, and delusions, which may lead to lifetime disability. Detection and diagnosis …
[HTML][HTML] Emotion recognition based on EEG feature maps through deep learning network
A Topic, M Russo - Engineering Science and Technology, an International …, 2021 - Elsevier
Emotion recognition using electroencephalogram (EEG) signals is getting more and more
attention in recent years. Since the EEG signals are noisy, non-linear and have non …
attention in recent years. Since the EEG signals are noisy, non-linear and have non …