REFED: Synchronized EEG-fNIRS Recordings with Real-time Dynamic Emotion Labels

REFED is an affective brain-computer interface dataset integrating multimodal brain signals and real-time dynamic emotion annotation. The dataset was created by REFED2025 and last updated on the platform in November 2025. It synchronizes EEG and fNIRS signals to study the neural mechanisms of emotional dynamic evolution.

Use Cases

• Study neural mechanisms of emotional dynamic evolution based on synchronized EEG-fNIRS signals.
• Develop high-reliability affective brain-computer interface models based on multimodal brain signals.
• Train models for real-time emotion annotation based on synchronized brain signal recordings.

Strengths

• Integrates two complementary brain signal modalities: EEG and fNIRS.
• Includes real-time dynamic emotion annotation, which is described as filling a critical research gap.
• Last updated on the platform in November 2025.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.

Provenance

Source

REFED2025

Collection Method

Synchronized acquisition of EEG and fNIRS signals.

Time Range

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Freshness

Last updated 2025-11-27 04:46:58; freshness should be verified.

Geography

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