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Bangbei Tang

Showing results (1-10 of 10) with videos related to

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Applied Ergonomics|March 31, 2026
Research on a motion sickness prediction model for vehicle occupants based on vehicle dynamics parameter thresholdsBangbei Tang, Bingjie Luo, Yingzhang Wu, et al.
Traffic Injury Prevention|May 7, 2026
Research on driving fatigue detection and arousal based on brain functional connectivity networksHuoping Lu, Bangbei Tang, Yan Li, et al.
Frontiers in Psychology|August 18, 2025
Investigating the impact of different road scenarios on the induction intensity of motion sickness in electric vehicle passengersBangbei Tang, Bingjie Luo, Yongfeng Ding, et al.
Frontiers in Human Neuroscience|July 1, 2025
Research on auditory and olfactory regulation methods for abnormal driver emotions based on EEG signalsBangbei Tang, Yan Li, Yingzhang Wu, et al.
Traffic Injury Prevention|January 14, 2026
Optimization and validation of multiscale feature selection for EEG-based recognition of drivers' negative emotionsYan Li, Bangbei Tang, Bingjie Luo, et al.
Frontiers in Human Neuroscience|July 16, 2025
Correction: Research on auditory and olfactory regulation methods for abnormal driver emotions based on EEG signalsBangbei Tang, Yan Li, Yingzhang Wu, et al.
Frontiers in Bioengineering and Biotechnology|January 2, 2025
Evaluation method of Driver's olfactory preferences: a machine learning model based on multimodal physiological signalsBangbei Tang, Mingxin Zhu, Zhian Hu, et al.
Sensors (Basel, Switzerland)|September 14, 2024
Autonomic Responses Associated with Olfactory Preferences of Fragrance Consumers: Skin Conductance, Respiration, and Heart RateBangbei Tang, Mingxin Zhu, Yingzhang Wu, et al.
Frontiers in Human Neuroscience|September 19, 2025
A study on the mitigating effect of different music types on motion sickness based on EEG analysisYilun Li, Yue Li, Yan Li, et al.
Frontiers in Human Neuroscience|April 3, 2025
An EEG-based analysis of the effects of different music genres on driving stressYilun Li, Yan Li, Bangbei Tang, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Applied Ergonomics|March 31, 2026
Research on a motion sickness prediction model for vehicle occupants based on vehicle dynamics parameter thresholdsBangbei Tang, Bingjie Luo, Yingzhang Wu, et al.
Traffic Injury Prevention|May 7, 2026
Research on driving fatigue detection and arousal based on brain functional connectivity networksHuoping Lu, Bangbei Tang, Yan Li, et al.
Frontiers in Psychology|August 18, 2025
Investigating the impact of different road scenarios on the induction intensity of motion sickness in electric vehicle passengersBangbei Tang, Bingjie Luo, Yongfeng Ding, et al.
Frontiers in Human Neuroscience|July 1, 2025
Research on auditory and olfactory regulation methods for abnormal driver emotions based on EEG signalsBangbei Tang, Yan Li, Yingzhang Wu, et al.
Traffic Injury Prevention|January 14, 2026
Optimization and validation of multiscale feature selection for EEG-based recognition of drivers' negative emotionsYan Li, Bangbei Tang, Bingjie Luo, et al.
Frontiers in Human Neuroscience|July 16, 2025
Correction: Research on auditory and olfactory regulation methods for abnormal driver emotions based on EEG signalsBangbei Tang, Yan Li, Yingzhang Wu, et al.
Frontiers in Bioengineering and Biotechnology|January 2, 2025
Evaluation method of Driver's olfactory preferences: a machine learning model based on multimodal physiological signalsBangbei Tang, Mingxin Zhu, Zhian Hu, et al.
Sensors (Basel, Switzerland)|September 14, 2024
Autonomic Responses Associated with Olfactory Preferences of Fragrance Consumers: Skin Conductance, Respiration, and Heart RateBangbei Tang, Mingxin Zhu, Yingzhang Wu, et al.
Frontiers in Human Neuroscience|September 19, 2025
A study on the mitigating effect of different music types on motion sickness based on EEG analysisYilun Li, Yue Li, Yan Li, et al.
Frontiers in Human Neuroscience|April 3, 2025
An EEG-based analysis of the effects of different music genres on driving stressYilun Li, Yan Li, Bangbei Tang, et al.
Pageof 1