Human-Machine Cooperative Multimodal Learning Method for Cross-subject Olfactory Preference Recognition

no code implementations • 24 Nov 2023 • Xiuxin Xia, Yuchen Guo, Yanwei Wang, Yuchao Yang, Yan Shi, Hong Men

Secondly, a complementary multimodal data mining strategy is proposed to effectively mine the common features of multimodal data representing odor information and the individual features in olfactory EEG representing individual emotional information.

EEG

Decoding Taste Information in Human Brain: A Temporal and Spatial Reconstruction Data Augmentation Method Coupled with Taste EEG

no code implementations • 1 Jul 2023 • Xiuxin Xia, Yuchao Yang, Yan Shi, Wenbo Zheng, Hong Men

Secondly, to avoid insufficient training of the model due to the small number of taste EEG samples, a Temporal and Spatial Reconstruction Data Augmentation (TSRDA) method was proposed, which effectively augmented the taste EEG by reconstructing the taste EEG's important features in temporal and spatial dimensions.

Data Augmentation EEG