Exploring Human Variability in Steady-State Visual Evoked Potentials

Chun-Shu Wei, Masaki Nakanishi, Kuan Jung Chiang, Tzyy Ping Jung

研究成果: Conference contribution同行評審

10 引文 斯高帕斯(Scopus)

摘要

High-speed steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have been developed to enable the communications between the human brain and external environments. One of the major issues in the real-world applications of SSVEP-BCIs is the laborious and time-consuming calibration process, triggering the development of transfer-learning approaches to leverage existing data from other users. A comprehensive investigation on the inter-and intra-subject variability in SSVEP data is thus needed to provide insight for designing future transfer-learning frameworks for SSVEP-BCIs. We hereby present the first study that systematically and quantitatively assesses the variability in SSVEP data, where the sources of inter-and intra-subject variability at low-and high-frequency range were identified using Fisher's discriminant ratios (FDRs). The insights gained from this work could drive the future developments of transfer-learning approaches to minimize the calibration efforts in high-speed SSVEP BCIs.

原文English
主出版物標題Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面474-479
頁數6
ISBN(電子)9781538666500
DOIs
出版狀態Published - 16 1月 2019
事件2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
持續時間: 7 10月 201810 10月 2018

出版系列

名字Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
國家/地區Japan
城市Miyazaki
期間7/10/1810/10/18

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