CNN and LSTM-Based Emotion Charting Using Physiological Signals

CNN and LSTM-Based Emotion Charting Using Physiological Signals

Novel trends in affective computing are based on reliable sources of physiological signals such as Electroencephalogram (EEG), Electrocardiogram (ECG), and Galvanic Skin Response (GSR). The use of these signals provides challenges of performance improvement within a broader set of emotion classes in...

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Bibliographic Details
Main Authors: Muhammad Najam Dar, Muhammad Usman Akram, Sajid Gul Khawaja, Amit N. Pujari
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
convolutional neural network (CNN)
long short-term memory (LSTM)
emotion recognition
EEG
ECG
GSR
Online Access:https://www.mdpi.com/1424-8220/20/16/4551

Internet

https://www.mdpi.com/1424-8220/20/16/4551

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