T
Teng-Yi Huang
Researcher at National Chiao Tung University
Publications - Â 11
Citations - Â 733
Teng-Yi Huang is an academic researcher from National Chiao Tung University. The author has contributed to research in topics: Alertness & Driving simulator. The author has an hindex of 10, co-authored 11 publications receiving 658 citations. Previous affiliations of Teng-Yi Huang include University System of Taiwan.
Papers
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Journal ArticleDOI
Development of Wireless Brain Computer Interface With Embedded Multitask Scheduling and its Application on Real-Time Driver's Drowsiness Detection and Warning
Chin-Teng Lin,Yu-Chieh Chen,Teng-Yi Huang,Tien-Ting Chiu,Li-Wei Ko,Sheng-Fu Liang,Hung-Yi Hsieh,Shang Hwa Hsu,Jeng Ren Duann +8 more
TL;DR: A novel brain-computer interface system that can acquire and analyze electroencephalogram (EEG) signals in real-time to monitor human physiological as well as cognitive states, and, in turn, provide warning signals to the users when needed is proposed.
Journal ArticleDOI
Adaptive EEG-Based Alertness Estimation System by Using ICA-Based Fuzzy Neural Networks
Chin-Teng Lin,Li-Wei Ko,I-Fang Chung,Teng-Yi Huang,Yu-Chieh Chen,Tzyy-Ping Jung,Sheng-Fu Liang +6 more
TL;DR: An adaptive alertness estimation methodology based on electroencephalogram, power spectrum analysis, independent component analysis (ICA), and fuzzy neural network (FNNs) models is proposed in this paper for continuously monitoring driver's drowsiness level with concurrent changes in the alertness level.
Journal ArticleDOI
Estimating driving performance based on EEG spectrum analysis
TL;DR: An EEG-based drowsiness estimation system that combines electroencephalogram (EEG) log subband power spectrum, correlation analysis, principal component analysis, and linear regression models to indirectly estimate driver's drowsness level in a virtual-reality-based driving simulator is proposed.
Journal ArticleDOI
An EEG-Based Fatigue Detection and Mitigation System.
Kuan-Chih Huang,Kuan-Chih Huang,Teng-Yi Huang,Chun-Hsiang Chuang,Jung-Tai King,Yu-Kai Wang,Chin-Teng Lin,Chin-Teng Lin,Chin-Teng Lin,Tzyy-Ping Jung +9 more
TL;DR: Analytical results clearly demonstrate and validate the efficacy of this online closed-loop EEG-based fatigue detection and mitigation mechanism to identify cognitive lapses that may lead to catastrophic incidents in countless operational environments.
Journal ArticleDOI
Gender differences in wayfinding in virtual environments with global or local landmarks
Chin-Teng Lin,Teng-Yi Huang,Wen-Jing Lin,Wen-Jing Lin,Shu Yen Chang,Yin Hung Lin,Li-Wei Ko,Daisy L. Hung,Daisy L. Hung,Erik C. Chang,Erik C. Chang +10 more
TL;DR: In this article, the authors assess gender differences in wayfinding in environments with global or local landmarks by analyzing both overall and fine-grained measures of performance, and conclude that males and females are differentially superior when using global and local landmark information, respectively.