ReviewBiomimetics (Basel, Switzerland)2025
A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions.
Review in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Exploring the Synergy Between Language Semantic Guidance and Visual Attention in Knowledge Distillation for Semantic Segmentation Under a Limited Field of View.Biomimetics (Basel, Switzerland) · 2026Article
- MindTS-MMD: A Chinese Multimodal Dataset for Emotion Expression Analysis in Children with Tourette Syndrome.Scientific data · 2026Article
- Development and Validation of a Multimodal Emotion Recognition Ability Test Based on the Chinese Cultural Context.Journal of Intelligence · 2026Article
- Multimodal emotion recognition using hybrid deep feature fusion under speaker-independent evaluation.Scientific reports · 2026Article
- Six artificial intelligence innovation strategies applied to autism spectrum disorder research: A narrative review.Pediatric investigation · 2026Review
- A multimodal spatiotemporal convolutional network with attention mechanism for athlete anxiety behavior recognition.Scientific reports · 2026Article
- Emotion recognition in dance therapy driven by DanceEmoNet: a deep learning model based on facial expression and pose estimation.Frontiers in psychology · 2026Article
- Wearable monitoring during music-based interventions in dementia: physiological and behavioral observations from a pilot study.Frontiers in human neuroscience · 2026Article
- Complex emotion recognition system using basic emotions via facial expression, electroencephalogram, and electrocardiogram signals: a review.Frontiers in psychology · 2026Review
- Multimodal transformer and directed relational graph learning for emotion recognition in conversations with potential applications in college student mental health research.Frontiers in psychology · 2026Article
- Late Fusion Model for Emotion Recognition from Facial Expressions and Biosignals in a Dataset of Children with Autism Spectrum Disorder.Sensors (Basel, Switzerland) · 2025Article
- ClipFaceFusion multi modal diffusion for high fidelity facial generation and modification.Scientific reports · 2025Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Using Artificial Intelligence-Based Technologies for the Early Detection of Behavioral and Psychological Symptoms of Dementia: Scoping Review.JMIR aging · 2025Article
- A Transformer-Based Multimodal Fusion Network for Emotion Recognition Using EEG and Facial Expressions in Hearing-Impaired Subjects.Sensors (Basel, Switzerland) · 2025Article
- Multi-Scale Temporal Fusion Network for Real-Time Multimodal Emotion Recognition in IoT Environments.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
This paper presents a comprehensive review of multimodal emotion recognition (MER), a process that integrates multiple data modalities such as speech, visual, and text to identify human emotions. Grounded in biomimetics, the survey frames MER as a bio-inspired sensing paradigm that emulates the way humans seamlessly fuse multisensory cues to communicate affect, thereby transferring principles from living systems to engineered solutions. By leveraging various modalities, MER systems offer a richer and more robust analysis of emotional states compared to unimodal approaches. The review covers the general structure of MER systems, feature extraction techniques, and multimodal information fusion strategies, highlighting key advancements and milestones. Additionally, it addresses the research challenges and open issues in MER, including lightweight models, cross-corpus generalizability, and the incorporation of additional modalities. The paper concludes by discussing future directions aimed at improving the accuracy, explainability, and practicality of MER systems for real-world applications.
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What OpenQuestion holds
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.