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EEG-based excitement detection in immersive environments: An improved deep learning approach
Published 2018“…The use of machine learning approaches to detecting the human emotion of excitement via electroencephalography (EEG) while immersed in an immersive virtual reality environment is studied in this investigation. …”
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Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges
Published 2020-04-01“…Among the more common approaches to emotion detection are methods that rely on electroencephalography (EEG), facial image processing and speech inflections. …”
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Comparing Eye-Tracking versus EEG Features for Four-Class Emotion Classification in VR Predictive Analytics
Published 2020“…This paper presents a novel emotion recognition approach using electroencephalography (EEG) brainwave signals augmented with eye-tracking data in virtual reality (VR) to classify 4-quadrant circumplex model of emotions. 3600 videos are used as the stimuli to evoke user’s emotions (happy, angry, bored, calm) with a VR headset and a pair of earphones. …”
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A Dataset for Emotion Recognition Using Virtual Reality and EEG (DER-VREEG): Emotional State Classification Using Low-Cost Wearable VR-EEG Headsets
Published 2022-01-01“…Emotion recognition uses low-cost wearable electroencephalography (EEG) headsets to collect brainwave signals and interpret these signals to provide information on the mental state of a person, with the implementation of a virtual reality environment in different applications; the gap between human and computer interaction, as well as the understanding process, would shorten, providing an immediate response to an individual’s mental health. …”
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Pushing the boundaries of EEG-based emotion classification using consumer-grade wearable brain-computer interfacing devices and ensemble classifiers
Published 2020“…Emotion classification using features derived from electroencephalography (EEG) is currently one of the major research areas in big data. …”
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Eye fixation versus pupil diameter as eye- tracking features for virtual reality emotion classification
Published 2022“…Typically, emotion recognition studies utilize popular physiological signals such as electroencephalography (EEG), while the research on emotion detection that relies solely on eye-tracking data is limited. …”
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EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities
Published 2020“…Recent developments in using electroencephalography (EEG) for emotion recognition have garnered strong interest from the research community as the latest developments in consumer-grade wearable EEG solutions can provide a cheap, portable, and simple solution for identifying emotions. …”
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Four-class emotion classification in virtual reality using pupillometry
Published 2020“…The large majority of emotion classifcation studies rely on electroencephalography (EEG) and/or electrocardiography (ECG) signals and only classifes the emotions into two or three classes. …”
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Four class emotion classifcation in virtual reality using pupillometry
Published 2020“…The large majority of emotion classifcation studies rely on electroencephalography (EEG) and/or electrocardiography (ECG) signals and only classifes the emotions into two or three classes. …”
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