Multimodal Feedback in Assisting a Wearable Brain-Computer Interface Based on Motor Imagery-Reference-Cited by-同舟云学术

Multimodal Feedback in Assisting a Wearable Brain-Computer Interface Based on Motor Imagery

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:

Arpaia Pasquale¹,Coyle Damien²,Donnarumma Francesco¹,Esposito Antonio¹,Natalizio Angela¹,Parvis Marco³,Pesola Marisa¹,Vallefuoco Ersilia¹

Affiliation:

1. Augmented Reality for Health Monitoring Laboratory (ARHeMLab)

2. University of Ulster,Intelligent Systems Research Centre,Derry,Northern Ireland

3. Polytechnic of Turin,Department of Electronics and Telecommunications (DET),Turin,Italy

Funder

Ministry of Education

Publisher

IEEE

Link

Reference27 articles.

1. Fundamentals of EEG measurement;teplan;Measurement Science Review,2002

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2. Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces;2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2023-10-25