A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS)

Jaeyoung Shin; Sungyong Kang; Minkyu Sung; Joohwan Kim; Yongjung Kim; Jihyun Kim; Jichai Jeong

doi:10.1109/IWW-BCI.2013.6506620

A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS)

Jaeyoung Shin, Sungyong Kang, Minkyu Sung, Joohwan Kim, Yongjung Kim, Jihyun Kim, Jichai Jeong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

We develop an 8-channel time domain functional near-infrared spectroscopy (fNIRS) system and measure concentration changes of hemoglobin during left/right arm lifting. Correlation-based signal improvement (CBSI) method is used to remove the effect of the head movement. We investigate the performances of the information transfer rate as a function of classification accuracy estimated by support vector machine. We achieve the information transfer rate in the range of 0.28~2.08 bits/min

Original language	English
Title of host publication	2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
Pages	32-33
Number of pages	2
DOIs	https://doi.org/10.1109/IWW-BCI.2013.6506620
Publication status	Published - 2013
Event	2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 - Gangwon Province, Korea, Republic of Duration: 2013 Feb 18 → 2013 Feb 20

Publication series

Name	2013 International Winter Workshop on Brain-Computer Interface, BCI 2013

Other

Other	2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
Country/Territory	Korea, Republic of
City	Gangwon Province
Period	13/2/18 → 13/2/20

Keywords

Brain-computer interface
Classification
Information transfer rate
Support vector machine
fNIRS

ASJC Scopus subject areas

Human-Computer Interaction

Access to Document

10.1109/IWW-BCI.2013.6506620

Cite this

Shin, J., Kang, S., Sung, M., Kim, J., Kim, Y., Kim, J., & Jeong, J. (2013). A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS). In 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 (pp. 32-33). Article 6506620 (2013 International Winter Workshop on Brain-Computer Interface, BCI 2013). https://doi.org/10.1109/IWW-BCI.2013.6506620

A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS). / Shin, Jaeyoung; Kang, Sungyong; Sung, Minkyu et al.
2013 International Winter Workshop on Brain-Computer Interface, BCI 2013. 2013. p. 32-33 6506620 (2013 International Winter Workshop on Brain-Computer Interface, BCI 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shin, J, Kang, S, Sung, M, Kim, J, Kim, Y, Kim, J & Jeong, J 2013, A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS). in 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013., 6506620, 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013, pp. 32-33, 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013, Gangwon Province, Korea, Republic of, 13/2/18. https://doi.org/10.1109/IWW-BCI.2013.6506620

Shin J, Kang S, Sung M, Kim J, Kim Y, Kim J et al. A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS). In 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013. 2013. p. 32-33. 6506620. (2013 International Winter Workshop on Brain-Computer Interface, BCI 2013). doi: 10.1109/IWW-BCI.2013.6506620

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abstract = "We develop an 8-channel time domain functional near-infrared spectroscopy (fNIRS) system and measure concentration changes of hemoglobin during left/right arm lifting. Correlation-based signal improvement (CBSI) method is used to remove the effect of the head movement. We investigate the performances of the information transfer rate as a function of classification accuracy estimated by support vector machine. We achieve the information transfer rate in the range of 0.28~2.08 bits/min",

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AU - Kim, Yongjung

AU - Kim, Jihyun

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A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS)

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Keywords

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