@inproceedings{c05500179938472bb9f7d00376c86ab2,
title = "Multimodal imaging technique for rapid response brain-computer interface feedback",
abstract = "Electroencephalogram (EEG) has been widely used for brain-computer interface (BCI) due to its high temporal resolution. Meanwhile, multimodal imaging techniques based on combined EEG and near infrared spectroscopy (NIRS) have been studied in BCI research and shown to lead to beneficiary results in terms of classification [1]. However, performance results of this study show that there is a difference of peak accuracy (about 5s) between NIRS and EEG caused by the high latency of the NIRS signal. Based on our experimental results and analysis, we show that even though there is high latency of NIRS signal in our proposed multimodal imaging technique, it can be reasonable system for real-time BCI.",
keywords = "combined NIRS-EEG, hybrid BCI fast-paced NIRS, meta-classifier, multi-modal imaging",
author = "Yeom, {Seul Ki} and Siamac Fazli and Jan Mehnert and Benjamin Blankcrtz and Jens Steinbrink and M{\"u}ller, {Klaus Robert} and Lee, {Seong Whan}",
year = "2013",
doi = "10.1109/IWW-BCI.2013.6506642",
language = "English",
isbn = "9781467359733",
series = "2013 International Winter Workshop on Brain-Computer Interface, BCI 2013",
pages = "92--94",
booktitle = "2013 International Winter Workshop on Brain-Computer Interface, BCI 2013",
note = "2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 ; Conference date: 18-02-2013 Through 20-02-2013",
}