Luzheng Bi

Orcid: 0000-0001-8986-3379

According to our database1, Luzheng Bi authored at least 52 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Editorial: Brain-computer interface and its applications.
Frontiers Neurorobotics, June, 2023

Multitask-Oriented Brain-Controlled Intelligent Vehicle Based on Human-Machine Intelligence Integration.
IEEE Trans. Syst. Man Cybern. Syst., April, 2023

Effects of Cognitive Distraction on Upper Limb Movement Decoding From EEG Signals.
IEEE Trans. Biomed. Eng., 2023

2022
A Novel Control Framework of Brain-Controlled Vehicle Based on Fuzzy Logic and Model Predictive Control.
IEEE Trans. Intell. Transp. Syst., 2022

Detecting Driver Cognition Alertness State From Visual Activities in Normal and Emergency Scenarios.
IEEE Trans. Intell. Transp. Syst., 2022

Sliding-Mode Nonlinear Predictive Control of Brain-Controlled Mobile Robots.
IEEE Trans. Cybern., 2022

Using Non-linear Dynamics of EEG Signals to Classify Primary Hand Movement Intent Under Opposite Hand Movement.
Frontiers Neurorobotics, 2022

Noninvasive neural signal-based detection of soft and emergency braking intentions of drivers.
Biomed. Signal Process. Control., 2022

Multi-Direction Decoding of Both-Hand Movement Using EEG Signals.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022

2021
Human Behavior Model-Based Predictive Control of Longitudinal Brain-Controlled Driving.
IEEE Trans. Intell. Transp. Syst., 2021

Decoding Single-Hand and Both-Hand Movement Directions From Noninvasive Neural Signals.
IEEE Trans. Biomed. Eng., 2021

EMG-Based 3D Hand Motor Intention Prediction for Information Transfer from Human to Robot.
Sensors, 2021

Detection of Emergency Braking Intention From Soft Braking and Normal Driving Intentions Using EMG Signals.
IEEE Access, 2021

Adaptive Brain-Machine Interface of Brain-Controlled Vehicles Using Semi-MIM and TSVM.
Proceedings of the CCEAI 2021: 5th International Conference on Control Engineering and Artificial Intelligence, 2021

2020
Model Predictive-Based Shared Control for Brain-Controlled Driving.
IEEE Trans. Intell. Transp. Syst., 2020

Neural correlates and detection of braking intention under critical situations based on the power spectra of electroencephalography signals.
Sci. China Inf. Sci., 2020

Discrete-Time Integral Sliding Mode Control for Brain-Controlled Mobile Robots.
Proceedings of the 2020 IEEE International Conference on Real-time Computing and Robotics, 2020

Driving Intention Decoding from EMG Signals for Human-Vehicle Interaction.
Proceedings of the 2020 IEEE International Conference on Real-time Computing and Robotics, 2020

Detection of Driver Emergency Steering Intention Using EMG Signal.
Proceedings of the 2020 IEEE International Conference on Real-time Computing and Robotics, 2020

Hand Movement Direction Decoding from EEG Signals under Dual Movement Tasks.
Proceedings of the PRIS 2020: International Conference on Pattern Recognition and Intelligent Systems, 2020

An Experience of Teaching Advanced Control Engineering (ACE) for Postgraduate Students.
Proceedings of the Learning Technologies and Systems, 2020

Brain-Controlled Leader-Follower Robot Formation Based on Model Predictive Control.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020

2019
A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration.
Biomed. Signal Process. Control., 2019

A Novel Event-Related Potential-Based Brain-Computer Interface for Continuously Controlling Dynamic Systems.
IEEE Access, 2019

An EEG-Based Multi-Classification Method of Braking Intentions for Driver-Vehicle Interaction.
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

EEG-based Universal Prediction Model of Emergency Braking Intention for Brain-controlled Vehicles<sup>*</sup>.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2018
EEG-Based Detection of Driver Emergency Braking Intention for Brain-Controlled Vehicles.
IEEE Trans. Intell. Transp. Syst., 2018

A Single-Trial Event-Related Potential Estimation Based on Independent Component Analysis and Kalman Smoother.
Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018

2017
Model predictive control for a brain-controlled mobile robot.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Effects of illumination and noise on the performance of a P300 brain-computer interface for assistive vehicles.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

EEG-based emergency braking intention prediction for brain-controlled driving considering one electrode falling-off.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
A brain signals-based interface between drivers and in-vehicle devices.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

A shared controller for brain-controlled assistive vehicles.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016

2015
A Brain-Computer Interface-Based Vehicle Destination Selection System Using P300 and SSVEP Signals.
IEEE Trans. Intell. Transp. Syst., 2015

Development of a Driver Lateral Control Model by Integrating Neuromuscular Dynamics Into the Queuing Network-Based Driver Model.
IEEE Trans. Intell. Transp. Syst., 2015

Detecting Driver Normal and Emergency Lane-Changing Intentions With Queuing Network-Based Driver Models.
Int. J. Hum. Comput. Interact., 2015

Using EEG to recognize emergency situations for brain-controlled vehicles.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Queuing network modeling of brain-controlled vehicles.
Proceedings of the IEEE International Conference on Information and Automation, 2015

2014
Using a Head-up Display-Based Steady-State Visually Evoked Potential Brain-Computer Interface to Control a Simulated Vehicle.
IEEE Trans. Intell. Transp. Syst., 2014

Using Queuing Network and Logistic Regression to Model Driving with a Visual Distraction Task.
Int. J. Hum. Comput. Interact., 2014

A speed and direction-based cursor control system with P300 and SSVEP.
Biomed. Signal Process. Control., 2014

A driver-vehicle interface based on ERD/ERS potentials and alpha rhythm.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013
A Head-Up Display-Based P300 Brain-Computer Interface for Destination Selection.
IEEE Trans. Intell. Transp. Syst., 2013

EEG-Based Brain-Controlled Mobile Robots: A Survey.
IEEE Trans. Hum. Mach. Syst., 2013

Inferring driver intentions using a driver model based on queuing network.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

2012
Queuing Network Modeling of Driver Lateral Control With or Without a Cognitive Distraction Task.
IEEE Trans. Intell. Transp. Syst., 2012

Modeling driver lane changing control with the queuing network-model human processor.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011
Using the Support Vector Regression Approach to Model Human Performance.
IEEE Trans. Syst. Man Cybern. Part A, 2011

Effects of Symmetry and Number of Compositional Elements on Chinese Users' Aesthetic Ratings of Interfaces: Experimental and Modeling Investigations.
Int. J. Hum. Comput. Interact., 2011

2010
Using EEG to detect drivers' emotion with Bayesian Networks.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009
Using Image-Based Metrics to Model Pedestrian Detection Performance With Night-Vision Systems.
IEEE Trans. Intell. Transp. Syst., 2009

2008
Application and Contrast in Brain-Computer Interface between Hilbert-Huang Transform and Wavelet Transform.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008


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