Employment of Domain Adaptation Techniques in SSVEP-Based Brain–Computer Interfaces-Reference-Cited by-同舟云学术

Employment of Domain Adaptation Techniques in SSVEP-Based Brain–Computer Interfaces

Published:2023 Issue: Volume:11 Page:36147-36157
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Apicella Andrea¹^ORCID,Arpaia Pasquale²^ORCID,Benedetto Egidio De¹^ORCID,Donato Nicola³^ORCID,Duraccio Luigi⁴,Giugliano Salvatore¹^ORCID,Prevete Roberto¹^ORCID

Affiliation:

1. Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy

2. Interdepartmental Research Center in Health Management and Innovation in Healthcare, University of Naples Federico II, Naples, Italy

3. Department of Engineering, University of Messina, Messina, Italy

4. Department of Electronics and Telecommunications, Polytechnic University of Turin, Turin, Italy

Funder

Ministero dell'Universit? e della Ricerca

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10098737.pdf?arnumber=10098737

Reference59 articles.

1. A Wearable AR-based BCI for Robot Control in ADHD Treatment: Preliminary Evaluation of Adherence to Therapy

2. Normalization: A Preprocessing Stage

3. A Wearable SSVEP BCI for AR-based, Real-time Monitoring Applications

4. A CNN-based multi-target fast classification method for AR-SSVEP

5. SSVEP-Based Brain-Computer Interface for Part-Picking Robotic Co-Worker

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