التفاصيل البيبلوغرافية
| العنوان: |
A brain computer interface with online feedback based on MEG |
| المؤلفون: |
Thomas Navin Lal, Michael Schröder, N. Jeremy Hill, Hubert Preissl, Thilo Hinterberger, Jürgen Mellinger, Martin Bogdan, Wolfgang Rosenstiel, Thomas Hofmann, Niels Birbaumer, Bernhard Schölkopf |
| المساهمون: |
The Pennsylvania State University CiteSeerX Archives |
| المصدر: |
http://www.kyb.tuebingen.mpg.de/publications/attachments/ICML_TH_3482%5B1%5D.pdfTest. |
| بيانات النشر: |
ICML |
| سنة النشر: |
2005 |
| المجموعة: |
CiteSeerX |
| الوصف: |
The aim of this paper is to show that machine learning techniques can be used to derive a classifying function for human brain signal data measured by magnetoencephalography (MEG), for the use in a brain computer interface (BCI). This is especially helpful for evaluating quickly whether a BCI approach based on electroencephalography, on which training may be slower due to lower signalto-noise ratio, is likely to succeed. We apply RCE and regularized SVMs to the experimental data of ten healthy subjects performing a motor imagery task. Four subjects were able to use a trained classifier to write a short name. Further analysis gives evidence that the proposed imagination task is suboptimal for the possible extension to a multiclass interface. To the best of our knowledge this paper is the first working online MEG-based BCI and is therefore a “proof of concept”. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.165.7321Test; http://www.kyb.tuebingen.mpg.de/publications/attachments/ICML_TH_3482%5B1%5D.pdfTest |
| الإتاحة: |
http://www.kyb.tuebingen.mpg.de/publications/attachments/ICML_TH_3482%5B1%5D.pdfTest |
| حقوق: |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| رقم الانضمام: |
edsbas.8A539805 |
| قاعدة البيانات: |
BASE |
