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 | |
| Publication status | Published - 2013 May 17 |
| Event | 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 - Gangwon Province, Korea, Republic of Duration: 2013 Feb 18 → 2013 Feb 20 |
Other
| Other | 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 |
|---|---|
| Country | Korea, Republic of |
| City | Gangwon Province |
| Period | 13/2/18 → 13/2/20 |
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Keywords
- Brain-computer interface
- Classification
- fNIRS
- Information transfer rate
- Support vector machine
ASJC Scopus subject areas
- Human-Computer Interaction
Cite this
A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS). / Shin, Jaeyoung; Kang, Sungyong; Sung, Minkyu; Kim, Joohwan; Kim, Yongjung; Kim, Jihyun; Jeong, Jichai.
2013 International Winter Workshop on Brain-Computer Interface, BCI 2013. 2013. p. 32-33 6506620.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS)
AU - Shin, Jaeyoung
AU - Kang, Sungyong
AU - Sung, Minkyu
AU - Kim, Joohwan
AU - Kim, Yongjung
AU - Kim, Jihyun
AU - Jeong, Jichai
PY - 2013/5/17
Y1 - 2013/5/17
N2 - 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
AB - 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
KW - Brain-computer interface
KW - Classification
KW - fNIRS
KW - Information transfer rate
KW - Support vector machine
UR - http://www.scopus.com/inward/record.url?scp=84877709437&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877709437&partnerID=8YFLogxK
U2 - 10.1109/IWW-BCI.2013.6506620
DO - 10.1109/IWW-BCI.2013.6506620
M3 - Conference contribution
AN - SCOPUS:84877709437
SN - 9781467359733
SP - 32
EP - 33
BT - 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
ER -