Conference Papers

Conference Papers

  1. Luzheng Bi and Yili Liu, “Modeling Driver Car-following Based on the Queuing NetworkCognitive Architecture,” Proceedingsof the 2009 International Conference on Machine Learning and Cybernetics,vol. 2, pp. 895-900, July 2009.

  2. Luzheng Bi and Yili Liu, “ModelingDriver Speed Control with the Queuing Network-Model Human Processor (QN-MHP),” 17thworld Congress on Ergonomics, August 2009. (Invited paper)

  3. Luzheng Bi, Xinan Fan, Guixin Zhang,Yili Liu, Zhilong Chen, “Effects of Symmetry and Number of CompositionalElements on Chinese Users’ Aesthetic Ratings of Interfaces,” 17thworld Congress on Ergonomics, August 2009. (Invited paper)

  4. Xin’an Fan, Luzheng Bi, and ZhiLongChen, “Using EEG to detect drivers' emotion with Bayesian Networks,” 2010International Conference on Machine Learning and Cybernetics, vol.3,pp.1177-1181, 2010.

  5. Luzheng Bi,Junxing Shang, Guodong Gan, and Yili Liu, “ModelingDriver Vehicle Control in a Cognitive Architecture2011 Third PacificAsia Conference on Circuits,Communications and System (PACCS), pp. 1-4,2011.

  6. Luzheng Bi, Zhi Wang, and Xin’an Fan,“EEG Analysis of Drivers under Emergency Situations,” Lecture Notes in InformationTechnology, vol. 10, pp. 190- 193, 2012.

  7. Luzheng Bi*, Nini Luo, and Xin’an Fan,“A Brain-computer Interface in the Context of a Head Up Display System”,2012ICME International Conference on Complex Medical Engineering, pp.241-244, Kobe Japan, 2012.07.01-04, oral presentation.

  8. Xin’an Fan, Luzheng Bi*, and Zhi Wang,“Detecting Emergency Situations by Monitoring Drivers' States from EEG”,    2012 ICME International Conference onComplex Medical Engineering, pp. 245-248, Kobe Japan, 2012.07.01-04,oral presentation.

  9. Luzheng Bi*, Junxing Shang, andGuodong Gan, “Modeling driver lane changing control with the queuingnetwork-model human processor,”2012 International Conference on MachineLearning and Cybernetics (ICMLC 2012), pp. 830-834, Xian, 2012.07.15-17, oral presentation.

  10. Xin’an Fan, Luzheng Bi*, Yun Li, KeJie, and Hongsheng Ding, “A P300 Brain-computer Interface for Controllinga Mobile Robot by Issuing a Motion Command”, 2013 ICME InternationalConference on Complex Medical Engineering, pp.707-710, 2013. 5.

  11. Luzheng Bi*,KeJie, Xin-an Fan, and YunLi, “A SSVEP Brain-computer Interface with the Hybrid Stimuli of SSVEP andP300”, 2013 ICME International Conference on Complex Medical Engineering, pp. 211-214, 2013.5.

  12. Luzheng Bi*, Yun Li, KeJie, and Xin-anFan, “A New SSVEP Brain-computer Interface Based on a Head Up Display”,2013ICME International Conference on Complex Medical Engineering, pp. 201-204, 2013.5.

  13. Luzheng Bi , Xuerui Yang , Cuie Wang, “InferringLane-changing Intentions Using a Queuing Network Model”, Intelligent Vehicles Symposium(IV), 2013 IEEE, pp.1387 – 1391, 2013.

  14. Xin-an Fan, Luzheng Bi*, HongshengDing, “Using Bayesian Networks with Human Personality and Situation Informationto Detect Emotion States from EEG”, 2013 Fourth Global Congress on IntelligentSystems, , pp.284-288, 2013.12.

  15. Luzheng Bi, Cuie Wang, and XueruiYang, “A DriverLateral and Longitudinal Control Model Based on Queuing Network CognitiveArchitecture”, 2013 Fourth Global Congress on IntelligentSystems, , pp.274-278, 2013.12.

  16. Luzheng Bi, Jinling Lian, Ke Jie, andXinan Fan, AttentionPattern for a Hybrid BCI System Based on P300 and SSVEP, 2014 ICME InternationalConference on Complex Medical Engineering, Taipei, 2014.

  17. Luzheng Bi, TenghuanHe, and Xinan Fan, “A Driver-Vehicle Interface Based on ERD/ERS Potentials andAlpha Rhythm2014 IEEEInternational Conference on Systems, Man, and Cybernetics, ,San Diego, USA, 2014.10.05-08.

  18. Luzheng Bi, Ke Jie, Jinling Lian, Bingqing Wu, “A SSVEP Brain-computer Interface Under the Hybrid Stimuli of P300 and SSVEP,” 2014 International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Sanya, 2014.2.

  19. Ke Jie, Luzheng Bi, Jinling Lian, Shuju Zhao, “A P300 Brain-computer Interface Under Hybrid Stimuli of P300 and SSVEP,” 2014 International Conference on Electrical, Control and Automation, Shanghai, 2014.2.

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