Data-Efficient EEG-Based Person Identification via Time-Interval-Based Multi-Positive Contrastive Learning
Electroencephalography (EEG) is an emerging biometric trait because it is difficult to steal or forge and requires acquisition from living subjects. However, many EEG-based person identification methods rely on large enrollment datasets, increasing acquisition burden and limiting practical deployment. To address this i...