EEG Cross-Subject Taste Classification Method: A Meta-Learning Wavelet Graph Convolutional Neural Network Under Sweet and Bitter Stimuli

Traditional taste evaluation relies heavily on manual sensory analysis, which is highly subjective and inefficient with poor cross-individual generalization, limiting its application in industrial flavor detection. To achieve accurate cross-subject taste recognition, this paper proposes an electroen...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	He Wang, Hong Men, Yan Shi
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2026-05-01
Σειρά:	Biosensors
Θέματα:	EEG detection cross-subject taste classification meta-learning wavelet graph convolutional neural network
Διαθέσιμο Online:	https://www.mdpi.com/2079-6374/16/5/295
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!