Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network

作者：

Highlights：

• Detection of motivation level from brain signals is proposed.

• Novel residual-in-residual architecture of convolutional neural network is designed.

• Proposed architecture reduces overfitting and vanishing gradient problem even for small dataset.

摘要

•Detection of motivation level from brain signals is proposed.•Novel residual-in-residual architecture of convolutional neural network is designed.•Proposed architecture reduces overfitting and vanishing gradient problem even for small dataset.

论文关键词：EEG,Motivation,Deep learning

论文评审过程：Received 22 February 2021, Revised 1 July 2021, Accepted 1 July 2021, Available online 5 July 2021, Version of Record 8 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115548