An overlapping sliding window and combined features based emotion recognition system for EEG signals

An overlapping sliding window and combined features based emotion recognition system for EEG signals

Purpose – The purpose of this study is to propose an alternative efficient 3D emotion recognition model for variable-length electroencephalogram (EEG) data. Design/methodology/approach – Classical AMIGOS data set which comprises of multimodal records of varying lengths on mood, personality and other...

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Bibliographic Details
Main Authors: Shruti Garg, Rahul Kumar Patro, Soumyajit Behera, Neha Prerna Tigga, Ranjita Pandey
Format: Article
Language:English
Published: Emerald Publishing 2025-01-01
Series:Applied Computing and Informatics
Subjects:
Electroencephalography (EEG)
Emotion recognition (ER)
1D and 2D convolution neural network (CNN)
Online Access:https://www.emerald.com/insight/content/doi/10.1108/ACI-05-2021-0130/full/pdf
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