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Brain-Computer Interfacing and Virtual Reality
Handbook of Digital Games and Entertainment Technologies
◽
10.1007/978-981-4560-52-8_2-1
◽
2015
◽
pp. 1-22
◽
Cited By ~ 8
Author(s):
Doron Friedman
Keyword(s):
Virtual Reality
◽
Brain Computer Interfacing
◽
Computer Interfacing
Download Full-text
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Excitement Classification of Virtual Reality Stimuli Using Brain-Computer Interfacing and Deep Learning
Journal of Computational and Theoretical Nanoscience
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10.1166/jctn.2019.7880
◽
2019
◽
Vol 16
(5)
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pp. 2241-2248
Author(s):
Jason Teo
◽
Jiatian Chia
Keyword(s):
Virtual Reality
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Deep Learning
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Artificial Intelligence Applied to Brain-Computer Interfacing with Eye-Tracking for Computer-Aided Conceptual Architectural Design in Virtual Reality Using Neurofeedback
Proceedings of the 2019 DigitalFUTURES
◽
10.1007/978-981-13-8153-9_11
◽
2019
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pp. 124-135
Author(s):
Claudiu Barsan-Pipu
Keyword(s):
Artificial Intelligence
◽
Virtual Reality
◽
Eye Tracking
◽
Architectural Design
◽
Computer Aided
◽
Brain Computer Interfacing
◽
Computer Interfacing
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Brain-Computer Interfacing and Virtual Reality
Handbook of Digital Games and Entertainment Technologies
◽
10.1007/978-981-4560-50-4_2
◽
2016
◽
pp. 151-171
◽
Cited By ~ 2
Author(s):
Doron Friedman
Keyword(s):
Virtual Reality
◽
Brain Computer Interfacing
◽
Computer Interfacing
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Brain-Computer Interfacing
10.1017/cbo9781139032803
◽
2013
◽
Cited By ~ 76
Author(s):
Rajesh P. N. Rao
Keyword(s):
Brain Computer Interfacing
◽
Computer Interfacing
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A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain–computer interfacing
Robotics and Autonomous Systems
◽
10.1016/j.robot.2019.02.015
◽
2019
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Vol 116
◽
pp. 98-113
◽
Cited By ~ 8
Author(s):
D. Kuhner
◽
L.D.J. Fiederer
◽
J. Aldinger
◽
F. Burget
◽
M. Völker
◽
...
Keyword(s):
Deep Learning
◽
Autonomous Robotics
◽
Brain Computer Interfacing
◽
Computer Interfacing
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Brain–Computer Interfacing Using EEG
10.1002/9781119386957.ch17
◽
2021
◽
pp. 581-630
Keyword(s):
Brain Computer Interfacing
◽
Computer Interfacing
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Feature Extraction and Classification in Brain-Computer Interfacing: Future Research Issues and Challenges
Natural Computing for Unsupervised Learning - Unsupervised and Semi-Supervised Learning
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10.1007/978-3-319-98566-4_5
◽
2018
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pp. 101-131
◽
Cited By ~ 3
Author(s):
Debashis Das Chakladar
◽
Sanjay Chakraborty
Keyword(s):
Feature Extraction
◽
Future Research
◽
Research Issues
◽
Brain Computer Interfacing
◽
Computer Interfacing
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Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing
Neural Networks
◽
10.1016/j.neunet.2011.03.019
◽
2011
◽
Vol 24
(7)
◽
pp. 726-734
◽
Cited By ~ 6
Author(s):
Ji Won Yoon
◽
Stephen J. Roberts
◽
Mathew Dyson
◽
John Q. Gan
Keyword(s):
Bayesian Inference
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Probit Model
◽
Ordered Probit
◽
Ordered Probit Model
◽
Brain Computer Interfacing
◽
Computer Interfacing
Download Full-text
Spectral subtraction denoising improves accuracy of Slow Cortical Potential based brain-computer interfacing
2014 Cairo International Biomedical Engineering Conference (CIBEC)
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10.1109/cibec.2014.7020947
◽
2014
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Cited By ~ 1
Author(s):
Meena M. Makary
◽
Hani M. Bu-Omer
◽
Yasser M. Kadah
Keyword(s):
Cortical Potential
◽
Spectral Subtraction
◽
Slow Cortical Potential
◽
Brain Computer Interfacing
◽
Computer Interfacing
Download Full-text
Why User-Centered Design Is Relevant for Brain–Computer Interfacing and How It Can Be Implemented in Study Protocols
Brain–Computer Interfaces Handbook
◽
10.1201/9781351231954-30
◽
2018
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pp. 585-594
◽
Cited By ~ 1
Author(s):
Sonja C. Kleih
◽
Andrea Kübler
Keyword(s):
User Centered Design
◽
Study Protocols
◽
Brain Computer Interfacing
◽
Computer Interfacing
◽
User Centered
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