Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Ceccato, Caterina"'
This study looked into how effective a Musical Brain-Computer Interface (MBCI) can be in providing feedback about synchrony between two people. Using a double EEG setup, we compared two types of musical feedback; one that adapted in real-time based o
Externí odkaz:
http://arxiv.org/abs/2309.02079
Autor:
Pruss, Ethel, Prinsen, Jos, Ceccato, Caterina, Vrins, Anita, Ziadeh, Hamzah, Knoche, Hendrik, Alimardani, Maryam
Publikováno v:
Pruss, E, Prinsen, J, Ceccato, C, Vrins, A, Ziadeh, H, Knoche, H & Alimardani, M 2023, Restoring Engagement in Human-Robot Interaction: A Brain-Computer Interface for Adaptive Learning with Robots . in Proceedings of IEEE SMC 2023 . IEEE .
This paper investigates the efficacy of a passive Brain-Computer Interface (BCI) in enabling a robot tutor to adaptively respond to a user's engagement level in real-time. The BCI system extracted EEG Engagement Index from the user's electroencephalo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1266::974af3c7f28b351781dc1d05223ea106
https://vbn.aau.dk/da/publications/4b849617-17e2-42dd-aa89-95faaa184926
https://vbn.aau.dk/da/publications/4b849617-17e2-42dd-aa89-95faaa184926