Online Learning for Wearable EEG-Based Emotion Classification

Online Learning for Wearable EEG-Based Emotion Classification

Giving emotional intelligence to machines can facilitate the early detection and prediction of mental diseases and symptoms. Electroencephalography (EEG)-based emotion recognition is widely applied because it measures electrical correlates directly from the brain rather than indirect measurement of...

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Bibliographic Details
Main Authors: Sidratul Moontaha, Franziska Elisabeth Friederike Schumann, Bert Arnrich
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
online learning
real-time
emotion classification
AMIGOS dataset
wearable EEG (muse and neurosity crown)
psychopy experiments
Online Access:https://www.mdpi.com/1424-8220/23/5/2387

Internet

https://www.mdpi.com/1424-8220/23/5/2387

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