کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
405600 677685 2009 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Subject-independent mental state classification in single trials
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Subject-independent mental state classification in single trials
چکیده انگلیسی

Current state-of-the-art in Brain Computer Interfacing (BCI) involves tuning classifiers to subject-specific training data acquired from calibration sessions prior to functional BCI use. Using a large database of EEG recordings from 45 subjects, who took part in movement imagination task experiments, we construct an ensemble of classifiers derived from subject-specific temporal and spatial filters. The ensemble is then sparsified using quadratic regression with ℓ1ℓ1 regularization such that the final classifier generalizes reliably to data of subjects not included in the ensemble. Our offline results indicate that BCI-naïve users could start real-time BCI use without any prior calibration at only very limited loss of performance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 22, Issue 9, November 2009, Pages 1305–1312
نویسندگان
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