An Innovative Multi-Model Neural Network Approach for Feature Selection in Emotion Recognition Using Deep Feature Clustering

An Innovative Multi-Model Neural Network Approach for Feature Selection in Emotion Recognition Using Deep Feature Clustering

Emotional awareness perception is a largely growing field that allows for more natural interactions between people and machines. Electroencephalography (EEG) has emerged as a convenient way to measure and track a user’s emotional state. The non-linear characteristic of the EEG signal produces a high...

Full description

Bibliographic Details
Main Authors: Muhammad Adeel Asghar, Muhammad Jamil Khan, Muhammad Rizwan, Raja Majid Mehmood, Sun-Hee Kim
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
brain–computer interface
convolutional deep neural network
deep feature clustering
EEG-based emotion recognition
feature selection
two-dimensional spectrogram
Online Access:https://www.mdpi.com/1424-8220/20/13/3765

Internet

https://www.mdpi.com/1424-8220/20/13/3765

Similar Items