ReviewSensors (Basel, Switzerland)2023
Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Review of Deep Learning Techniques for EEG-Based Emotion Recognition: Models, Methods, and Datasets.F1000Research · 2025Pooled it
- Neurophysiological approaches to exploring emotional responses to cosmetics: a systematic review of the literature.Frontiers in human neuroscience · 2024Pooled it
- Article
- Diffusion Inverse Filtering: Enhancing Functional Connectivity-Based Pattern Recognition by Counteracting Spatial Smoothing.Brain sciences · 2026Article
- A psychological education model integrating artificial intelligence-based BERT in physical education.Scientific reports · 2026Article
- Psychological-physical synergy of athletes based on artificial intelligence and deep learning.Scientific reports · 2026Article
- An IoT-based smart emotion recognition system by using internal body parameters.Scientific reports · 2026Article
- The association between emotional arousal and color lightness of facial digital expressions of social robots.Frontiers in psychology · 2026Article
- An Enhanced Valence-Arousal Multimodal Emotion Dataset for Emotion Recognition.Scientific data · 2025Article
- A dataset of interactions and emotions for website user experience evaluation.Scientific data · 2025Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Exploring the impact mechanisms of EEG signals and emotional intelligence levels on language learning efficiency.Scientific reports · 2025Article
- An exploratory framework for EEG-based monitoring of motivation and performance in athletic-like scenarios.Scientific reports · 2025Article
- A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions.Biomimetics (Basel, Switzerland) · 2025Review
- Mathematical modeling of the interaction between endocrine systems and EEG signals.Frontiers in endocrinology · 2025Article
- Real-Time Emotion Recognition for Improving the Teaching-Learning Process: A Scoping Review.Journal of imaging · 2024Article
- An Emotion Recognition Method for Humanoid Robot Body Movements Based on a PSO-BP-RMSProp Neural Network.Sensors (Basel, Switzerland) · 2024Article
- Facial Expression Recognition for Measuring Jurors' Attention in Acoustic Jury Tests.Sensors (Basel, Switzerland) · 2024Article
- Emotion Classification Based on Transformer and CNN for EEG Spatial-Temporal Feature Learning.Brain sciences · 2024Article
- A New Network Structure for Speech Emotion Recognition Research.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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. Human emotions have many manifestations. Therefore, emotion recognition can be realized by analyzing facial expressions, speech, behavior, or physiological signals. These signals are collected by different sensors. Correct recognition of human emotions can promote the development of affective computing. Most existing emotion recognition surveys only focus on a single sensor. Therefore, it is more important to compare different sensors or unimodality and multimodality. In this survey, we collect and review more than 200 papers on emotion recognition by literature research methods. We categorize these papers according to different innovations. These articles mainly focus on the methods and datasets used for emotion recognition with different sensors. This survey also provides application examples and developments in emotion recognition. Furthermore, this survey compares the advantages and disadvantages of different sensors for emotion recognition. The proposed survey can help researchers gain a better understanding of existing emotion recognition systems, thus facilitating the selection of suitable sensors, algorithms, and datasets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.