Article

A Causal Machine Learning Approach for Investigating Learners’ Mental States through Electroencephalography (EEG)

2025-04-07

Abstract excerpt

<title>Abstract</title> <p>In recent years, the non-invasive method of Electroencephalography (EEG) has gained widespread acceptance as a means of using computers to comprehend the intricate psychological behaviour of the human mind. The study of brain-computer interface via EEG offers additional compelling insights into human psychology. Nevertheless, it is difficult to employ EEG in brain contact successfully d...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1766b0dd-fbe4-58c5-b2c0-9d55ef995aac
DOI: 10.21203/rs.3.rs-6376282/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Causal Machine Learning Approach for Investigating Learners’ Mental States through Electroencephalography (EEG)DOI 10.21203/rs.3.rs-6376282/v1Read

A Mental State-Aware Brain Computer Interface for Adaptive Control of Electric Powered WheelchairSemantic proximity Read

#EEGManyLabs: Investigating the Replicability of Influential EEG ExperimentsSemantic proximity Read

Spectral Mapping Model for Cognitive State Prediction through Acoustic Loop-Induced Brainwave AnalysisSemantic proximity Read

Exploiting Granger Causality for Dynamic Multimodal Emotion Recognition in Video Learning ContextSemantic proximity Read

Distinct Electrophysiological Signatures of Intentional and Unintentional Mind-Wandering Revealed by Low-Frequency EEG MarkersSemantic proximity Read

Heart Rate Variability predicts the Subject-Driven Cognitive StatesSemantic proximity Read

Rethinking the Flynn EffectSemantic proximity Read

Causal Cortical and Thalamic Connections in the Human BrainSemantic proximity Read

Collaborative Explainable AI for EEG Mental Health Monitoring with Constrained QA-Tuned LLM AlignmentSemantic proximity Read

Innovations in the Acquisition and Simulation of EEG Signals An Integrated Study of Literature Review and Application of Biomedical TechnologySemantic proximity Read

Prediction of Motor Imagery Tasks from Multi-Channel EEG Data for Brain-Computer Interface ApplicationsSemantic proximity Read

Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning ClassificationSemantic proximity Read