Gang Li
Orcid: 0000-0002-5251-7445Affiliations:
- University of Glasgow, School of Psychology and Neuroscience, UK
- Shanghai Jiao Tong University, Department of Micro/Nano Electronics, China
- Pukyong National University, Busan, South Korea (PhD 2016)
According to our database1,
Gang Li
authored at least 23 papers
between 2013 and 2023.
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Bibliography
2023
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023
Exploring Neural Biomarkers in Young Adults Resistant to VR Motion Sickness: A Pilot Study of EEG.
Proceedings of the IEEE Conference Virtual Reality and 3D User Interfaces, 2023
Resting-state EEG in the Vestibular Region Can Predict Motion Sickness Induced by a Motion-Simulated in-car VR Platform.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
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.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2nd Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys - Finding Consensus in the Field.
Proceedings of the Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Electroencephalogram-Based Approaches for Driver Drowsiness Detection and Management: A Review.
Sensors, 2022
Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys.
Proceedings of the AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - Adjunct Proceedings, Seoul, Republic of Korea, September 17, 2022
Can Visual Motion Presented in a VR Headset Reduce Motion Sickness for Vehicle Passengers?
Proceedings of the AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - Adjunct Proceedings, Seoul, Republic of Korea, September 17, 2022
2021
Displays, 2021
Comparing Autonomic Physiological and Electroencephalography Features for VR Sickness Detection Using Predictive Models.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
Exploring the feasibility of mitigating VR-HMD-induced cybersickness using cathodal transcranial direct current stimulation.
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2020
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2020
2018
Combined EEG-Gyroscope-tDCS Brain Machine Interface System for Early Management of Driver Drowsiness.
IEEE Trans. Hum. Mach. Syst., 2018
Electroencephalogram-Based Comparative Study of Music Effect on Mental Stress Relief.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018
Proceedings of the 2018 IEEE Asia Pacific Conference on Circuits and Systems, 2018
2017
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Live demonstration: Evaluation of consumer's preference using augmented reality and EEG.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016
2015
Sensors, 2015
2014
Estimation of Eye Closure Degree Using EEG Sensors and Its Application in Driver Drowsiness Detection.
Sensors, 2014
2013
Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier.
Sensors, 2013