An improved multi-input deep convolutional neural network for automatic emotion recognition

An improved multi-input deep convolutional neural network for automatic emotion recognition

Current decoding algorithms based on a one-dimensional (1D) convolutional neural network (CNN) have shown effectiveness in the automatic recognition of emotional tasks using physiological signals. However, these recognition models usually take a single modal of physiological signal as input, and the...

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Bibliographic Details
Main Authors: Peiji Chen, Bochao Zou, Abdelkader Nasreddine Belkacem, Xiangwen Lyu, Xixi Zhao, Weibo Yi, Zhaoyang Huang, Jun Liang, Chao Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Neuroscience
Subjects:
biological signals
multi-modality
emotion recognition
convolutional neural network
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.965871/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.965871/full

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