Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device-Reference-Cited by-同舟云学术

Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
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Author:

Apicella Andrea¹,Arpaia Pasquale¹,Cataldo Andrea²,D'Errico Giovanni³,Marocco Davide⁴,Mastrati Giovanna¹,Moccaldi Nicola²,Pollastro Andrea¹,Ricciardi Bernadette¹,Vallefuoco Ersilia¹

Affiliation:

1. University of Naples Federico II,Dep. of Electrical Engineering and Information Technology (DIETI),Naples,Italy

2. University of Salento,Dep. of Engineering for Innovation,Lecce,Italy

3. Polytechnic University of Turin,Dep. of Applied Science and Technology,Turin,Italy

4. University of Naples Federico II,Dep.of Humanities,Naples,Italy

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9967443/9967445/09967651.pdf?arnumber=9967651

Reference38 articles.

1. Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals

2. EEG-based detection of emotional valence towards a reproducible measurement of emotions

3. High-wearable EEG-based distraction detection in motor rehabilitation

4. Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces

5. EEG artifact elimination by extraction of ICA-component features using image processing algorithms

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