Transfer learning with large-scale data in brain-computer interfaces

Chun-Shu Wei, Yuan Pin Lin, Yu Te Wang, Chin-Teng Lin, Tzyy Ping Jung

研究成果: Conference contribution同行評審

7 引文 斯高帕斯(Scopus)

摘要

Human variability in electroencephalogram (EEG) poses significant challenges for developing practical real-world applications of brain-computer interfaces (BCIs). The intuitive solution of collecting sufficient user-specific training/calibration data can be very labor-intensive and time-consuming, hindering the practicability of BCIs. To address this problem, transfer learning (TL), which leverages existing data from other sessions or subjects, has recently been adopted by the BCI community to build a BCI for a new user with limited calibration data. However, current TL approaches still require training/calibration data from each of conditions, which might be difficult or expensive to obtain. This study proposed a novel TL framework that could nearly eliminate requirement of subject-specific calibration data by leveraging large-scale data from other subjects. The efficacy of this method was validated in a passive BCI that was designed to detect neurocognitive lapses during driving. With the help of large-scale data, the proposed TL approach outperformed the within-subject approach while considerably reducing the amount of calibration data required for each individual (∼1.5 min of data from each individual as opposed to a 90 min pilot session used in a standard within-subject approach). This demonstration might considerably facilitate the real-world applications of BCIs.

原文English
主出版物標題2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面4666-4669
頁數4
ISBN(電子)9781457702204
DOIs
出版狀態Published - 13 10月 2016
事件38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
持續時間: 16 8月 201620 8月 2016

出版系列

名字Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2016-October
ISSN(列印)1557-170X

Conference

Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
國家/地區United States
城市Orlando
期間16/08/1620/08/16

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