Wearable Brain–Computer Interfaces Based on Steady-State Visually Evoked Potentials and Augmented Reality: A Review-Reference-Cited by-同舟云学术

Wearable Brain–Computer Interfaces Based on Steady-State Visually Evoked Potentials and Augmented Reality: A Review

Published:2023-08-01 Issue:15 Volume:23 Page:16501-16514
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Angrisani Leopoldo¹^ORCID,Arpaia Pasquale²^ORCID,De Benedetto Egidio¹^ORCID,Duraccio Luigi³^ORCID,Regio Fabrizio Lo¹^ORCID,Tedesco Annarita⁴^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 Electronics and Telecommunications, Polytechnic University of Turin, Turin, Italy

4. Department of Chemical Sciences, University of Naples Federico II, Naples, Italy

Funder

Italian Ministry of University and Research (MUR) through the project “RESearch and innovation on future Telecommunications systems and networks - RESTART”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10198840/10161603.pdf?arnumber=10161603

Reference87 articles.

1. How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art

2. Brain-Controlled Multi-Robot at Servo-Control Level Based on Nonlinear Model Predictive Control

3. Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing

4. Visual stimulus color effect on SSVEP-BCI in augmented reality

5. A Tensor-Based Frequency Features Combination Method for Brain–Computer Interfaces

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