Skip to main content

GENERAL COMMENTARY article

Front. Hum. Neurosci., 26 March 2015
Sec. Brain-Computer Interfaces
Volume 9 - 2015 | https://doi.org/10.3389/fnhum.2015.00172

Corrigendum “fNIRS-based brain-computer interfaces: a review”

  • 1Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, South Korea
  • 2School of Mechanical Engineering, Pusan National University, Busan, South Korea

A Corrigendum on
fNIRS-based brain-computer interfaces: a review

by Naseer, N., and Hong, K.-S. (2015). Front. Hum. Neurosci. 9:3. doi: 10.3389/fnhum.2015.00003

In the References section of this article, Burges (1998) and Liu et al. (2013) were cited as follows.

Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Knowl. Discov. Data Min. 2, 121–167. doi: 10.1023/A:1009715923555

Liu, Y., Ayaz, H., Curtin, A., and Onarall, B. (2013). “Towards a hybrid P300-based BCI using simultaneous fNIR and EEG,” in Foundations of Augmented Cognition, eds D. Schmorrow and C. Fidopiastis (Heidelberg: Springer-Verlag), 335–344.

But, the correct citations are the following.

Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov. 2, 121–167. doi: 10.1023/A:1009715923555

Liu, Y., Ayaz, H., Curtin, A., Onaral, B., and Shewokis, P. A. (2013). “Towards a hybrid P300-based BCI using simultaneous fNIR and EEG,” in Foundations of Augmented Cognition, eds D. D. Schmorrow and C. M. Fidopiastis (Heidelberg: Springer-Verlag), 335–344.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov. 2, 121–167. doi: 10.1023/A:1009715923555

CrossRef Full Text | Google Scholar

Liu, Y., Ayaz, H., Curtin, A., Onaral, B., and Shewokis, P. A. (2013). “Towards a hybrid P300-based BCI using simultaneous fNIR and EEG,” in Foundations of Augmented Cognition, eds D. D. Schmorrow and C. M. Fidopiastis (Heidelberg: Springer-Verlag), 335–344.

Google Scholar

Naseer, N., and Hong, K.-S. (2015). fNIRS-based brain-computer interfaces: a review. Front. Hum. Neurosci. 9:3. doi: 10.3389/fnhum.2015.00003

PubMed Abstract | Full Text | CrossRef Full Text | Google Scholar

Keywords: brain-computer interface (BCI), functional near-infrared spectroscopy (fNIRS), feature extraction, feature classification, physiological noise, brain-machine interfaces

Citation: Naseer N and Hong K-S (2015) Corrigendum “fNIRS-based brain-computer interfaces: a review”. Front. Hum. Neurosci. 9:172. doi: 10.3389/fnhum.2015.00172

Received: 02 March 2015; Accepted: 12 March 2015;
Published: 26 March 2015.

Edited and reviewed by: Arthur M. Jacobs, Freie Universität Berlin, Germany

Copyright © 2015 Naseer and Hong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Keum-Shik Hong, kshong@pusan.ac.kr

Download