ArticleScientific reports2021
EEG-based detection of emotional valence towards a reproducible measurement of emotions.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 65 citations in OpenAlex.
- Video-dominant emotion recognition for portable EEG-based devices.Scientific reports · 2026Article
- Development of a Measurement Procedure for Emotional States Detection Based on Single-Channel Ear-EEG: A Proof-of-Concept Study.Sensors (Basel, Switzerland) · 2026Article
- Not just heard, but judged: a multidimensional perspective on auditory attention in everyday life.Frontiers in neuroergonomics · 2026Review
- Recent Advances in Portable Dry Electrode EEG: Architecture and Applications in Brain-Computer Interfaces.Sensors (Basel, Switzerland) · 2025Review
- EEG-based emotional valence and emotion regulation classification: a data-centric and explainable approach.Scientific reports · 2024Article
- Multisensor Integrated Platform Based on MEMS Charge Variation Sensing Technology for Biopotential Acquisition.Sensors (Basel, Switzerland) · 2024Article
- Executive Functions Assessment Based on Wireless EEG and 3D Gait Analysis During Dual-Task: A Feasibility Study.IEEE journal of translational engineering in health and medicine · 2024Article
- Improved EEG-based emotion recognition through information enhancement in connectivity feature map.Scientific reports · 2023Article
- An Efficient Machine Learning-Based Emotional Valence Recognition Approach Towards Wearable EEG.Sensors (Basel, Switzerland) · 2023Article
- A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States.Sensors (Basel, Switzerland) · 2022Review
- Spaces Eliciting Negative and Positive Emotions in Shrinking Neighbourhoods: a Study in Seoul, South Korea, Using EEG (Electroencephalography).Journal of urban health : bulletin of the New York Academy of Medicine · 2022Article
- Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications.Sensors (Basel, Switzerland) · 2022Article
- Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithm.Scientific reports · 2022Article
- A machine learning enabled affective E-learning system model.Education and information technologies · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
A methodological contribution to a reproducible Measurement of Emotions for an EEG-based system is proposed. Emotional Valence detection is the suggested use case. Valence detection occurs along the interval scale theorized by the Circumplex Model of emotions. The binary choice, positive valence vs negative valence, represents a first step towards the adoption of a metric scale with a finer resolution. EEG signals were acquired through a 8-channel dry electrode cap. An implicit-more controlled EEG paradigm was employed to elicit emotional valence through the passive view of standardized visual stimuli (i.e., Oasis dataset) in 25 volunteers without depressive disorders. Results from the Self Assessment Manikin questionnaire confirmed the compatibility of the experimental sample with that of Oasis. Two different strategies for feature extraction were compared: (i) based on a-priory knowledge (i.e., Hemispheric Asymmetry Theories), and (ii) automated (i.e., a pipeline of a custom 12-band Filter Bank and Common Spatial Pattern). An average within-subject accuracy of 96.1 %, was obtained by a shallow Artificial Neural Network, while k-Nearest Neighbors allowed to obtain a cross-subject accuracy equal to 80.2%.
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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.