Emotion has a substantial influence on the cognitive processes in humans, including perception, attention, learning, memory, reasoning, and problem solving. Emotion has a …
Y Yin, X Zheng, B Hu, Y Zhang, X Cui - Applied Soft Computing, 2021 - Elsevier
In recent years, graph convolutional neural networks have become research focus and inspired new ideas for emotion recognition based on EEG. Deep learning has been widely …
T Song, W Zheng, P Song, Z Cui - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, a multichannel EEG emotion recognition method based on a novel dynamical graph convolutional neural networks (DGCNN) is proposed. The basic idea of the proposed …
Although neuromarketing research has developed, the current studies lack to provide comprehensive insights into neuromarketing and marketing mix. Therefore, this study has …
In the past decade, neurophysiological and physiological tools have been used to explore consumer behaviour toward advertising. The studies into brain processes (eg, emotions …
The prefrontal cortex (PFC) plays a critical role in the generation and regulation of emotion. However, we lack an integrative framework for understanding how different emotion-related …
The positive-negative axis of emotional valence has long been recognized as fundamental to adaptive behavior, but its origin and underlying function have largely eluded formal …
We present ASCERTAIN-a multimodal databaASe for impliCit pERsonaliTy and Affect recognitIoN using commercial physiological sensors. To our knowledge, ASCERTAIN is the …
P Cherubino, AC Martinez-Levy… - Computational …, 2019 - Wiley Online Library
The new technological advances achieved during the last decade allowed the scientific community to investigate and employ neurophysiological measures not only for research …