A Hybrid Hand-Crafted and Deep Neural Spatio-Temporal EEG Features Clustering Framework for Precise Emotional Status Recognition

A Hybrid Hand-Crafted and Deep Neural Spatio-Temporal EEG Features Clustering Framework for Precise Emotional Status Recognition

Human emotions are variant with time, non-stationary, complex in nature, and are invoked as a result of human reactions during our daily lives. Continuously detecting human emotions from one-dimensional EEG signals is an arduous task. This paper proposes an advanced signal processing mechanism for e...

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Bibliographic Details
Main Authors: Qazi Mazhar ul Haq, Leehter Yao, Wahyu Rahmaniar, Fawad, Faizul Islam
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
differential entropy
emotion status recognition
spatio-temporal features
hybrid model
Online Access:https://www.mdpi.com/1424-8220/22/14/5158

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https://www.mdpi.com/1424-8220/22/14/5158

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