C
Chun-Shu Wei
Researcher at University of California, San Diego
Publications - 34
Citations - 674
Chun-Shu Wei is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Motion sickness & Computer science. The author has an hindex of 11, co-authored 30 publications receiving 440 citations. Previous affiliations of Chun-Shu Wei include National Chiao Tung University & Stanford University.
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Journal ArticleDOI
Toward Drowsiness Detection Using Non-hair-Bearing EEG-Based Brain-Computer Interfaces
TL;DR: The findings of this study demonstrate the efficacy and practicality of the NHB EEG for drowsiness detection and could catalyze explorations and developments of many other real-world BCI applications.
Journal ArticleDOI
A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection.
TL;DR: This study proposes applying hierarchical clustering to assess the inter‐ and intra‐subject variability within a large‐scale dataset of EEG collected in a simulated driving task, and validates the feasibility of transferring EEG‐based drowsiness‐detection models across subjects.
Journal ArticleDOI
An Online Brain-Computer Interface Based on SSVEPs Measured from Non-Hair-Bearing Areas
TL;DR: The empirical results showed that, with proper electrode placements and advanced signal-processing algorithms, the SSVEPs measured from non-hair-bearing areas in off-line SSVEP experiments could achieve comparable SNR to that obtained from the hair-bearing occipital areas.
Proceedings ArticleDOI
Selective Transfer Learning for EEG-Based Drowsiness Detection
TL;DR: Empirical results suggested that the feasibility of leveraging existing BCI models built by other subjects' data and a relatively small amount of subject-specific pilot data to develop a BCI that can outperform the BCI based solely on the pilot data of the subject.
Journal ArticleDOI
Developing an EEG-based on-line closed-loop lapse detection and mitigation system
Yu-Te Wang,Kuan-Chih Huang,Chun-Shu Wei,Teng-Yi Huang,Li-Wei Ko,Chin-Teng Lin,Chung-Kuan Cheng,Tzyy-Ping Jung +7 more
TL;DR: On-line testing results of the OCLDM System validated the efficacy of the arousing signals in improving subjects' response times to the subsequent lane-departure events, and may lead to a practical on-line lapse detection and mitigation system in real-world environments.