ArticleScientific reports2018
Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 3 of them syntheses that pooled it.
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Who cites it
67 citing papers in PubMed, 3 syntheses or guidelines pooled it, 401 citations in OpenAlex.
- Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review.Frontiers in psychology · 2024Pooled it
- Datasets for Automated Affect and Emotion Recognition from Cardiovascular Signals Using Artificial Intelligence- A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing.Sensors (Basel, Switzerland) · 2020Pooled it
- Towards naturalistic social neuroscience: A multi-level framework integrating real-world phenotyping, neurobiology, and computational mechanisms.Cognitive, affective & behavioral neuroscience · 2026Review
- Toward Objective Assessment of Positive Affect: EEG and HRV Indices Distinguishing High and Low Arousal Positive Affect.Sensors (Basel, Switzerland) · 2026Article
- Research on the emotional generation mechanism and optimization pathways of traditional village landscapes in northeastern Hubei based on EEG measurements.Frontiers in psychology · 2026Article
- Social cognitive impacts of digital art in metaverse environments: A cross-sectional study of user perception and behavioral patterns.PloS one · 2026Article
- Affective Response Dataset for Virtual Workspaces: Based on Color Stimuli and Multimodal Physiological Signals.Sensors (Basel, Switzerland) · 2025Article
- Graph-theoretical analysis of EEG-based functional connectivity during emotional experience in virtual reality for emotion recognition.Scientific reports · 2025Article
- The Interplay Between Environment and Drug Effects: Decoding the Ecocebo Phenomenon with Virtual Technologies.Sensors (Basel, Switzerland) · 2025Review
- Audiovisual virtual reality for emotion induction: a dataset of physiological responses.Scientific data · 2025Article
- The Effects of Virtual Reality on Hope and Travel Expectations in Healthy and Hospitalized Children: Quasi-Experimental Design Approach.Interactive journal of medical research · 2025Article
- The influence of architectural heritage and tourists' positive emotions on behavioral intentions using eye-tracking study.Scientific reports · 2025Article
- Virtual reality-enabled high-performance emotion estimation with the most significant channel pairs.Heliyon · 2024Article
- Decoding episodic autobiographical memory in naturalistic virtual reality.Scientific reports · 2024Article
- A Student Facial Expression Recognition Model Based on Multi-Scale and Deep Fine-Grained Feature Attention Enhancement.Sensors (Basel, Switzerland) · 2024Article
- IAVRS-International Affective Virtual Reality System: Psychometric Assessment of 360° Images by Using Psychophysiological Data.Sensors (Basel, Switzerland) · 2024Article
- Self-Assessed Experience of Emotional Involvement in Sensory Analysis Performed in Virtual Reality.Foods (Basel, Switzerland) · 2024Article
- Dynamic Neural Patterns of Human Emotions in Virtual Reality: Insights from EEG Microstate Analysis.Brain sciences · 2024Article
- Feasibility of virtual reality and machine learning to assess personality traits in an organizational environment.Frontiers in psychology · 2024Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Affective Computing has emerged as an important field of study that aims to develop systems that can automatically recognize emotions. Up to the present, elicitation has been carried out with non-immersive stimuli. This study, on the other hand, aims to develop an emotion recognition system for affective states evoked through Immersive Virtual Environments. Four alternative virtual rooms were designed to elicit four possible arousal-valence combinations, as described in each quadrant of the Circumplex Model of Affects. An experiment involving the recording of the electroencephalography (EEG) and electrocardiography (ECG) of sixty participants was carried out. A set of features was extracted from these signals using various state-of-the-art metrics that quantify brain and cardiovascular linear and nonlinear dynamics, which were input into a Support Vector Machine classifier to predict the subject's arousal and valence perception. The model's accuracy was 75.00% along the arousal dimension and 71.21% along the valence dimension. Our findings validate the use of Immersive Virtual Environments to elicit and automatically recognize different emotional states from neural and cardiac dynamics; this development could have novel applications in fields as diverse as Architecture, Health, Education and Videogames.
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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.