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ORCIDGang Li 0011
Person information
- affiliation: University of Glasgow, School of Psychology and Neuroscience, UK
- affiliation: Shanghai Jiao Tong University, Department of Micro/Nano Electronics, China
- affiliation (PhD 2016): Pukyong National University, Busan, South Korea
Other persons with the same name
- Gang Li — disambiguation page
- Gang Li 0001
![[0000-0001-9585-1382]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9585-1382")
— University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA (and 1 more) - Gang Li 0002 — Tianjin University, Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, China
- Gang Li 0003 — Dalian University of Technology, Faculty of Infrastructure Engineering, China
- Gang Li 0004 — Hong Kong Baptist University, Kowloon Tong, Hong Kong (and 1 more)
- Gang Li 0005 — Harbin Institute of Technology, Department of Management Science and Engineering, Nangang, China (and 1 more)
- Gang Li 0006 — GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Germany (and 1 more)
- Gang Li 0007 — University of California at Los Angeles, Department of Biostatistics, School of Public Health, CA, USA
- Gang Li 0008 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Gang Li 0009 — Deakin University, School of Information Technology, TULIP Lab, Melbourne, Australia
- Gang Li 0010 — Zhejiang University of Science and Technology, School of Automation and Electrical Engineering, Hangzhou, China (and 2 more)
- Gang Li 0012 — Microsoft Research Asia, Beijing, China
- Gang Li 0013 — Zhejiang Normal University, College of Engineering, China
- Gang Li 0014 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- Gang Li 0015 — Shanghai Jiao Tong University, China (and 1 more)
- Gang Li 0016 — Chinese University of Hong Kong, Hong Kong
- Gang Li 0017 — Tianjin University, School of Precision Instruments and Opto-Electronics Engineering, State Key Laboratory of Precision Measurement Technology and Instrument, China
- Gang Li 0018 — Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, MD, USA (and 1 more)
- Gang Li 0019 — Xi'an Jiaotong University, School of Management, State Key Lab for Manufacturing Systems Engineering / Moe State Key Lab for Process Control & Efficiency Engineering, China
- Gang Li 0020 — Tongji University, College of Electronics and Information Engineering, Shanghai, China
- Gang Li 0021 — Google Research, Mountain View, CA, USA (and 1 more)
- Gang Li 0022 — Qingdao University, School of Mathematics and Statistics, China
- Gang Li 0023 — University of Electronic Science and Technology of China, School of Information and Communications Engineering, Chengdu, China
- Gang Li 0024 — ShanghaiTech University, School of Physical Science and Technology, China (and 1 more)
- Gang Li 0025 — Chang'an University, School of Information Engineering, Xi'an, China
- Gang Li 0026 — Shandong University of Traditional Chinese Medicine, First Clinical Medical School, China
- Gang Li 0027 — Beijing University of Posts and Telecommunications, School of Economics and Management, China
- Gang Li 0028 — University of Manitoba, Department of Electrical and Computer Engineering, Winnipeg, MB, Canada (and 2 more)
- Gang Li 0029 — Chang'an University, Department of Automation, School of Electronics and Control Engineering / MoE Key Laboratory of Road Construction Technology and Equipment, Xi'an, China
- Gang Li 0030 — University of Science and Technology of China, CAS Key Laboratory of Electromagnetic Space Information, Hefei, China
- Gang Li 0031 — Jilin University, Changchun, China (and 1 more)
- Gang Li 0032 — Nanjing University of Information Science and Technology, School of Marine Sciences, China
- Gang Li 0033 — Xinjiang Vocational and Technical College of Communications, Ürümqi, China
- Gang Li 0034 — University of Washington at Seattle, Department of Genome Sciences, WA, USA (and 1 more)
- Gang Li 0036 — University of Alberta, Advanced Control Systems Laboratory, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
- Gang Li 0037 — Qilu University of Technology, School of Mathematics and Statistics, Shandong Academy of Sciences, Jinan, China
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2020 – today
- 2023
[c15]Katharina Margareta Theresa Pöhlmann, Ammar Jamal Said Al-Taie, Gang Li, Abhraneil Dam, Yu-Kai Wang, Chun-Shu Wei, Georgios Papaioannou:
2nd Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys - Finding Consensus in the Field. AutomotiveUI (Adjunct Proceedings) 2023: 223-226- [c14]Katharina Margareta Theresa Pöhlmann, Gang Li, Mark McGill, Reuben Markoff, Stephen Anthony Brewster:
You spin me right round, baby, right round: Examining the Impact of Multi-Sensory Self-Motion Cues on Motion Sickness During a VR Reading Task. CHI 2023: 712:1-712:16 - [c13]Gang Li, Yu-Kai Wang, Mark McGill, Katharina Margareta Theresa Pöhlmann, Stephen A. Brewster, Frank E. Pollick:
Resting-state EEG in the Vestibular Region Can Predict Motion Sickness Induced by a Motion-Simulated in-car VR Platform. SSCI 2023: 47-52 - [c12]Katharina Margareta Theresa Pöhlmann, Gang Li, Mark McGill, Frank E. Pollick, Stephen A. Brewster:
Can Gender and Motion Sickness Susceptibility Predict Cybersickness in VR ? VRW 2023: 277-282 - [c11]Gang Li, Katharina Margareta Theresa Pöhlmann, Mark McGill, Chao Ping Chen, Stephen A. Brewster, Frank E. Pollick:
Exploring Neural Biomarkers in Young Adults Resistant to VR Motion Sickness: A Pilot Study of EEG. VR 2023: 328-335 - 2022
- [j8]Gang Li, Wan-Young Chung:
Electroencephalogram-Based Approaches for Driver Drowsiness Detection and Management: A Review. Sensors 22(3): 1100 (2022) - [j7]Gang Li, Mark McGill, Stephen A. Brewster, Chao Ping Chen, Joaquin A. Anguera, Adam Gazzaley, Frank E. Pollick:
Multimodal Biosensing for Vestibular Network-Based Cybersickness Detection. IEEE J. Biomed. Health Informatics 26(6): 2469-2480 (2022) - [c10]Katharina Margareta Theresa Pöhlmann, Marc Stephan Kurt Auf Der Heyde, Gang Li, Frans A. J. Verstraten, Stephen Anthony Brewster, Mark McGill:
Can Visual Motion Presented in a VR Headset Reduce Motion Sickness for Vehicle Passengers? AutomotiveUI (Adjunct Proceedings) 2022: 114-118 - [c9]Katharina Margareta Theresa Pöhlmann, Gang Li, Abhraneil Dam, Yu-Kai Wang, Chun-Shu Wei, Adrian Brietzke, Georgios Papaioannou:
Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. AutomotiveUI (Adjunct Proceedings) 2022: 157-160 - 2021
- [j6]Chao Ping Chen, Lantian Mi, Wenbo Zhang, Jiaxun Ye, Gang Li:
Waveguide-based near-eye display with dual-channel exit pupil expander. Displays 67: 101998 (2021) - [c8]Gang Li, Ogechi Onuoha, Mark McGill, Stephen A. Brewster, Chao Ping Chen, Frank E. Pollick:
Comparing Autonomic Physiological and Electroencephalography Features for VR Sickness Detection Using Predictive Models. SSCI 2021: 1-8 - 2020
- [j5]Wei-Long Zheng, Kunpeng Gao, Gang Li, Wei Liu, Chao Liu, Jing-Quan Liu, Guoxing Wang, Bao-Liang Lu:
Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment. IEEE Trans. Intell. Transp. Syst. 21(1): 170-184 (2020) - [c7]Gang Li, Francisco Macía Varela, Abdullah Habib, Qi Zhang, Mark McGill, Stephen A. Brewster, Frank E. Pollick:
Exploring the feasibility of mitigating VR-HMD-induced cybersickness using cathodal transcranial direct current stimulation. AIVR 2020: 123-129 - [c6]Gang Li, Mark McGill, Stephen A. Brewster, Frank E. Pollick:
A Review of Electrostimulation-based Cybersickness Mitigations. AIVR 2020: 151-157
2010 – 2019
- 2018
- [j4]Gang Li, Wan-Young Chung:
Combined EEG-Gyroscope-tDCS Brain Machine Interface System for Early Management of Driver Drowsiness. IEEE Trans. Hum. Mach. Syst. 48(1): 50-62 (2018) - [c5]Maya Chennafi, Muhammad Adeel Khan, Gang Li, Yong Lian, Guoxing Wang:
Study of Music Effect on Mental Stress Relief Based on Heart Rate Variability. APCCAS 2018: 131-134 - [c4]Muhammad Adeel Khan, Maya Chennafi, Gang Li, Guoxing Wang:
Electroencephalogram-Based Comparative Study of Music Effect on Mental Stress Relief. CISP-BMEI 2018: 1-5 - 2017
- [c3]Gang Li, Zhe Zhang, Guoxing Wang:
Emotion recognition based on low-cost in-ear EEG. BioCAS 2017: 1-4 - 2016
- [c2]Gang Li, Yong Lian, Guoxing Wang:
Live demonstration: Evaluation of consumer's preference using augmented reality and EEG. BioCAS 2016: 133 - [c1]Yubing Jiang, Hyeon-Seok Lee, Gang Li, Wan-Young Chung:
High performance wearable two-channel hybrid BCI system with eye closure assist. EMBC 2016: 5869-5872 - 2015
- [j3]Gang Li, Wan-Young Chung:
A Context-Aware EEG Headset System for Early Detection of Driver Drowsiness. Sensors 15(8): 20873-20893 (2015) - 2014
- [j2]Gang Li, Wan-Young Chung:
Estimation of Eye Closure Degree Using EEG Sensors and Its Application in Driver Drowsiness Detection. Sensors 14(9): 17491-17515 (2014) - 2013
- [j1]Gang Li, Wan-Young Chung:
Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier. Sensors 13(12): 16494-16511 (2013)
Coauthor Index
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