Abstract
Brain-Computer Interfaces (BCI) are an interesting emerging technology that is driven by the motivation to develop an effective communication interface translating human intentions into a control signal for devices like computers or neuroprostheses. If this can be done bypassing the usual human output pathways like peripheral nerves and muscles it can ultimately become a valuable tool for paralyzed patients. Most activity in BCI research is devoted to finding suitable features and algorithms to increase information transfer rates (ITRs). The present paper studies the implications of using more classes, e.g., left vs. right hand vs. foot, for operating a BCI.We contribute by (1) a theoretical study showing under some mild assumptions that it is practically not useful to employ more than three or four classes, (2) two extensions of the common spatial pattern (CSP) algorithm, one interestingly based on simultaneous diagonalization, and (3) controlled EEG experiments that underline our theoretical findings and show excellent improved ITRs.
| Original language | English |
|---|---|
| Title of host publication | Advances in Neural Information Processing Systems |
| Publisher | Neural information processing systems foundation |
| ISBN (Print) | 0262201526, 9780262201520 |
| Publication status | Published - 2004 Jan 1 |
| Externally published | Yes |
| Event | 17th Annual Conference on Neural Information Processing Systems, NIPS 2003 - Vancouver, BC, Canada Duration: 2003 Dec 8 → 2003 Dec 13 |
Other
| Other | 17th Annual Conference on Neural Information Processing Systems, NIPS 2003 |
|---|---|
| Country | Canada |
| City | Vancouver, BC |
| Period | 03/12/8 → 03/12/13 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Signal Processing
Cite this
Increase information transfer rates in BCI by CSP extension to multi-class. / Dornhege, Guido; Blankertz, Benjamin; Curio, Gabriel; Muller, Klaus.
Advances in Neural Information Processing Systems. Neural information processing systems foundation, 2004.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Increase information transfer rates in BCI by CSP extension to multi-class
AU - Dornhege, Guido
AU - Blankertz, Benjamin
AU - Curio, Gabriel
AU - Muller, Klaus
PY - 2004/1/1
Y1 - 2004/1/1
N2 - Brain-Computer Interfaces (BCI) are an interesting emerging technology that is driven by the motivation to develop an effective communication interface translating human intentions into a control signal for devices like computers or neuroprostheses. If this can be done bypassing the usual human output pathways like peripheral nerves and muscles it can ultimately become a valuable tool for paralyzed patients. Most activity in BCI research is devoted to finding suitable features and algorithms to increase information transfer rates (ITRs). The present paper studies the implications of using more classes, e.g., left vs. right hand vs. foot, for operating a BCI.We contribute by (1) a theoretical study showing under some mild assumptions that it is practically not useful to employ more than three or four classes, (2) two extensions of the common spatial pattern (CSP) algorithm, one interestingly based on simultaneous diagonalization, and (3) controlled EEG experiments that underline our theoretical findings and show excellent improved ITRs.
AB - Brain-Computer Interfaces (BCI) are an interesting emerging technology that is driven by the motivation to develop an effective communication interface translating human intentions into a control signal for devices like computers or neuroprostheses. If this can be done bypassing the usual human output pathways like peripheral nerves and muscles it can ultimately become a valuable tool for paralyzed patients. Most activity in BCI research is devoted to finding suitable features and algorithms to increase information transfer rates (ITRs). The present paper studies the implications of using more classes, e.g., left vs. right hand vs. foot, for operating a BCI.We contribute by (1) a theoretical study showing under some mild assumptions that it is practically not useful to employ more than three or four classes, (2) two extensions of the common spatial pattern (CSP) algorithm, one interestingly based on simultaneous diagonalization, and (3) controlled EEG experiments that underline our theoretical findings and show excellent improved ITRs.
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M3 - Conference contribution
AN - SCOPUS:84899021034
SN - 0262201526
SN - 9780262201520
BT - Advances in Neural Information Processing Systems
PB - Neural information processing systems foundation
ER -