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Yu-Ting Liu
Researcher at National Chiao Tung University
Publications - 25
Citations - 516
Yu-Ting Liu is an academic researcher from National Chiao Tung University. The author has contributed to research in topics: Fuzzy logic & Neuro-fuzzy. The author has an hindex of 9, co-authored 22 publications receiving 380 citations. Previous affiliations of Yu-Ting Liu include University of Technology, Sydney & National Cheng Kung University.
Papers
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Journal ArticleDOI
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network
TL;DR: A generalized prediction system called a recurrent self-evolving fuzzy neural network (RSEFNN) that employs an on-line gradient descent learning rule to address the electroencephalography (EEG) regression problem in brain dynamics for driving fatigue is proposed.
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Weighted Fuzzy Dempster–Shafer Framework for Multimodal Information Integration
TL;DR: An architecture based on a weighted fuzzy Dempster–Shafer framework (WFDSF), which can adjust weights associated with inconsistent evidence obtained by different classification approaches, is proposed to realize a fusion system for integrating multimodal information.
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Fuzzy Integral With Particle Swarm Optimization for a Motor-Imagery-Based Brain–Computer Interface
Shang-Lin Wu,Yu-Ting Liu,Tsung-Yu Hsieh,Yang-Yin Lin,Chih-Yu Chen,Chun-Hsiang Chuang,Chin-Teng Lin +6 more
TL;DR: This paper represents the first attempt to utilize fuzzy fusion technique to attack the individual differences problem of MI applications in real-world noisy environments and demonstrates the practical feasibility of implementing the proposed method for real- world applications.
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An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination
TL;DR: Simulation results show that the proposed IT2NFS-SIFE not only simplifies the system architecture by eliminating derogatory/irrelevant antecedent clauses, rules, and features but also maintains excellent performance.
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Forehead EEG in Support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment
Chin-Teng Lin,Chun-Hsiang Chuang,Zehong Cao,Avinash Kumar Singh,Chih-Sheng Hung,Yi-Hsin Yu,Mauro Nascimben,Yu-Ting Liu,Jung-Tai King,Tung Ping Su,Shuu Jiun Wang +10 more
TL;DR: The usefulness of the forehead EEG with advanced sensing technology and signal processing algorithms to support people with healthcare needs, such as monitoring sleep, predicting headaches, and treating depression are presented.