ArticleFrontiers in psychology2023
Facial expression recognition in virtual reality environments: challenges and opportunities.
Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The trial behind it
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Who cites it
11 citing papers in PubMed.
- Deep-Learning-Derived Facial Electromyogram Signatures of Emotion in Immersive Virtual Reality (bWell): Exploring the Impact of Emotional, Cognitive, and Physical Demands.Sensors (Basel, Switzerland) · 2026Article
- Toward Generalized Emotion Recognition in VR by Bridging Natural and Acted Facial Expressions.Sensors (Basel, Switzerland) · 2026Article
- E-MOTE: A Conceptual Framework for Emotion-Aware Teacher Training Integrating FACS, AI and VR.Vision (Basel, Switzerland) · 2026Review
- Virtual reality-induced emotion recognition with deep learning-based multimodal physiological feature fusion.Frontiers in psychology · 2026Article
- When Action Speaks Louder than Words: Exploring Non-Verbal and Paraverbal Features in Dyadic Collaborative VR.Sensors (Basel, Switzerland) · 2025Article
- Synthetic Patient-Physician Conversations Simulated by Large Language Models: A Multi-Dimensional Evaluation.Sensors (Basel, Switzerland) · 2025Article
- "Mom, what are you painting?" Virtual reality assessment of mother-daughter dynamics through joint art-making.Frontiers in psychology · 2025Article
- Facial expression recognition (FER) survey: a vision, architectural elements, and future directions.PeerJ. Computer science · 2024Article
- Explainable feature selection and deep learning based emotion recognition in virtual reality using eye tracker and physiological data.Frontiers in medicine · 2024Article
- Emotionally-oriented design in museums: a case study of the Jewish Museum Berlin.Frontiers in psychology · 2024Article
- Apple Vision Pro: a new horizon in psychological research and therapy.Frontiers in psychology · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study delved into the realm of facial emotion recognition within virtual reality (VR) environments. Using a novel system with MobileNet V2, a lightweight convolutional neural network, we tested emotion detection on 15 university students. High recognition rates were observed for emotions like "Neutral", "Happiness", "Sadness", and "Surprise". However, the model struggled with 'Anger' and 'Fear', often confusing them with "neutral". These discrepancies might be attributed to overlapping facial indicators, limited training samples, and the precision of the devices used. Nonetheless, our research underscores the viability of using facial emotion recognition technology in VR and recommends model improvements, the adoption of advanced devices, and a more holistic approach to foster the future development of VR emotion recognition.
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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.