Emotion Recognition Using Convolutional Neural Network with Selected Statistical Photoplethysmogram Features

Emotion Recognition Using Convolutional Neural Network with Selected Statistical Photoplethysmogram Features

Emotion recognition research has been conducted using various physiological signals. In this paper, we propose an efficient photoplethysmogram-based method that fuses the deep features extracted by two deep convolutional neural networks and the statistical features selected by Pearson’s correlation...

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Bibliographic Details
Main Authors:	MinSeop Lee, Yun Kyu Lee, Myo-Taeg Lim, Tae-Koo Kang
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Series:	Applied Sciences
Subjects:	PPG emotion recognition statistical feature feature fusion convolutional neural network
Online Access:	https://www.mdpi.com/2076-3417/10/10/3501

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