An EEG-based Multi-Scale Hybrid Attention and Squeeze Network for objective taste assessment
Tianyi Yang, Yueyue Xiao, Zhaoyan Li, Chunxiao Chen, Fei Ye, Mian Cao, Rui Liu, Yingli Zhu, Zhiyu Qian, Jagath Chandana Rajapakse
This paper introduces MHASNet, a deep learning model for taste assessment using EEG signals, achieving high accuracy across five taste categories.
Future Foods · Dec 11, 2025Peer-reviewedNeuroscience