<p>Four-class classification of fNIRS signals for decoding answers to multiple-choice questions</p>

Noman Naseer; Hong Keum-Shik; Yong-Il Shin; M Jawad Khan; M Raheel Bhutta

doi:10.7490/f1000research.1000180.1

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Naseer N, Keum-Shik H, Shin YI et al. Four-class classification of fNIRS signals for decoding answers to multiple-choice questions [version 1; not peer reviewed]. F1000Research 2015, 4:208 (poster) (https://doi.org/10.7490/f1000research.1000180.1)

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Four-class classification of fNIRS signals for decoding answers to multiple-choice questions

Noman Naseer, Hong Keum-Shik¹, Yong-Il Shin, M Jawad Khan, M Raheel Bhutta

Published 09 Jul 2015 (https://doi.org/10.7490/f1000research.1000180.1)

Author Affiliations

¹ Pusan National University, South Korea

Copyright © 2015 Naseer N et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 09 Jul 2015

Four-class classification of fNIRS signals for decoding answers to multiple-choice questions
[version 1; not peer reviewed]

Noman Naseer, Hong Keum-Shik¹, Yong-Il Shin, M Jawad Khan, M Raheel Bhutta

Author Affiliations

¹ Pusan National University, South Korea

Presented at

21st Annual Meeting of the Organization for Human Brain Mapping (OHBM) 2015

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Decision decoding; fNIRS; Classification; BCI, Brain-computer interface

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