Zhibin Song
Song Zhibin
Asociate Professor
Email: songzhibin@tju.edu.cn
Office: East-209, Building 10
Phone: +86 22 27406136
 
Academic Experiences

  • 2013.8 – Present, Lecturer
  • Tianjin University, China
  • 2012.4 – 2013.3, Post-doctor
  • Graduate School of Engineering, Kagawa University
  • 2008.4 –2012.3, Teaching Assistance
  • Graduate School of Engineering, Kagawa University
     
    Academic Qualifications

  • 2009.4 – 2013.3, Doctor Degree in Mechanical engineering
  • Graduate School of Engineering, Kagawa University, Japan
    Research Content: Study on Upper Limb Rehabilitation using a Developed Exoskeleton Device and Haptic Devices
  • 2007.9 – 2009.3, Master Degree in Mechanical engineering
  • Graduate School of Engineering, Kagawa University, Japan
    Research Content: Study on hybrid rehabilitation system based on VR technology
  • 2002.9 - 2006.7, Bachelor Degree in Mechanical engineering
  • Mechanical Manufacturing and Automation, Harbin Engineering University, China
     
    Awards

  • 2002.09 – 2006.07   Harbin Engineering University   “First Grade Scholarship” 7 times
  •                                      Harbin Engineering University   “Second Grade Scholarship” 1 time
  • 2003 – 2004             National Scholarship
  • 2002.09 – 2006.07   Harbin Engineering University   “Tri-good Student” 3 times
  • 2006.10 – 2012.03   Japanese Government (Monbukagakusho) Scholarship
  •  
    Journal papers


  • Zhibin Song, Shuxiang Guo and Yili Fu, Development of Upper Extremity Motor Function Rehabilitation and Assessment System, International Journal of Mechatronics and Automation. Vol. 1(1), pp. 19-28, 2011.
  • Zhibin Song, Shuxiang Guo, Muye Pang, Songyuan,Zhang, Nan Xiao, Baofeng Gao and Liwei Shi, Implementation of Active Training Using an Upper-Limb Exoskeleton Rehabilitation Device in Elbow Joint,Journal of Medical and Biological Engineering(JMBE), Inpress, January, 2013.
  • Zhibin Song, Shuxiang Guo, Nan Xiao, Baofeng Gao and Liwei Shi, Sensor-based detection of human upper limb motion for human-machine synchronization control for Active Rehabilitation. Sensors. Vo. 32, No. 5, pp. 323-330, 2012 (SCI)
  • Zhibin Song and Shuxiang Guo, Design Process of a Novel Exoskeleton Rehabilitation Device and Implementation of Bilateral Upper Limb Motor Movement, Journal of Medical and Biological Engineering. Vol. 32, No. 5, pp. 323-330, 2012. (SCI).
  • Muye Pang, Shuxiang Guo, Zhibin Song, Study on the sEMG driven Upper Limb Exoskeleton Rehabilitation Device in Bilateral Rehabilitation, Journal of Robotics and Mechatronics, Vol. 24, No. 4, pp. 585-594, 2012.
  • Liwei Shi, Shuxiang Guo, Maoxun Li, Shilian Mao, Nan Xiao, Baofeng Gao, Zhibin Song and Kinji AsakaA Novel Soft Biomimetic Microrobot with Two Motion Attitudes,  Sensors, Vol. 12, No. 12, pp. 16732-16758, 2012.
  •  
    Conference papers

  • Shuxiang Guo and Zhibin Song, A Novel Motor Function Training Assisted System for Upper Limbs Rehabilitation, Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1025-1030, 2009.(EI)
  • Zhibin Song, Shuxiang Guo, Study on Impedance Generation Using an Exoskeleton Device for Upper-Limb Rehabilitation, Proceedings of 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp.281-286. Hamburg, Germany, September 13-15, 2012. (EI)
  • Zhibin Song, Shuxiang Guo, Muye Pang and Songyuan Zhang Recognition of Motion of Human Upper Limb using SEMG in Real Time: Towards Bilateral Rehabilitation Proceedings of 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012), pp.1404-1408, Dec. 11-Dec. 14, Guangzhou, China, 2012. (EI)
  • Zhibin Song, Shuxiang Guo, Muye Pang, and Songyuan Zhang, Study on Recognition of Upper Limb Motion Pattern Using surface EMG signals for Bilateral Rehabilitation. Proceedings of 23rd 2012 International Symposium on Micro-NanoMechatronics and Human Science, pp.425-430, Nov. 4-Nov. 7, Nagoya, Japan, 2012. (EI)
  • Zhibin Song and Shuxiang Guo, Implementation of Self-rehabilitation for Upper Limb based on a Haptic Device and an Exoskeleton Device, Proceedings of 2011 IEEE International Conference on Mechatronics and Automation, pp.1911-1916, 2011. (EI)
  • Zhibin Song and Shuxiang Guo, Development of a Real-time Upepr Limb’s Motion Tracking Exoskeleton Device for Active Rehabilitation Using an Inertia Sensor, Proceedings of the 2011 World Conference on Intelligent Control and Automation, pp.351-356. 2011. (EI)
  • Zhibin Song and Shuxiang Guo, Development of a New Compliant Exoskeleton Device for Elbow Joint Rehabilitation, Proceedings of the 2011 IEEE International Conference on Complex Medical, pp. 647-651, 2011. (EI)
  • Zhibin Song, Shuxiang Guo, Muye Pang and Songyuan Zhang , ULERD-based Active Training for Upper Limb Rehabilitation, Proceedings of 2012 IEEE International Conference on Mechatronics and Automation, pp.569-574, August 5-8, Chengdu, China, 2012. (EI)
  • Zhibin Song and Shuxiang Guo, Force Sensor-based Platform for Upper-limb Motor Function for  Stroke Assessment, Proceedings of the 2010 IEEE International Conference on Robotics and Biomimetics, pp.58-63, 2010. (EI)
  • Zhibin Song, Shuxiang Guo and Yazid, Development of a Potential System for Upper Limb Rehabilitation Training Based on Virtual Reality, Proceedings of the 4th International Conference on Human SystemInteraction, pp.1223-1228. 2011. (EI)
  • Zhibin Song and Shuxiang Guo, Development of a Master-slave System for Upper Limb Rehabilitation, Proceedings of the 5th International Conference on Advanced Mechatronics. pp.768-773. 2010. (EI)
  • Shuxiang Guo, Zhibin Song and Changchun Ren, Development of Upper Limb Motor Function Training and Rehabilitation System, Proceedings of the 2009 IEEE International Conference on Mechatronics and Automation, pp.931-936. 2009. (EI)
  • Shuxiang Guo and Zhibin Song, VR-based a Novel Active Rehabilitation System for Upper Limbs, Proceedings of the 2008 IEEE International Conference on Mechatronics and Automation pp.230-235.2008. (EI)
  • Shuxiang Guo and Zhibin Song, VR-based Active Rehabilitation System for Upper Limbs, Proceedings of the 2008 IEEE International Conference on Automation and Logistics, pp. 1077-1082. 2008. (EI)
  • Shuxiang Guo, Gang Song and Zhibin Song, Development of a Self-assisted Rehabilitation System for the Upper Limbs Based on Virtual Reality, Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation. pp.1452-1457. 2007. (EI)
  • Shuxiang Guo, Songyuan Zhang, Zhibin Song, Muye Pang, “Preliminary Study on Upper Limb Movement Identification Based on sEMG signal”, 2012 ICME International Conference on Complex Medical Engineering, Kobe, Japan, July 1-4, accepted, 2012. (EI)
  • Xiang Kui, Guo Shuxiang and Song Zhibin, A Data-driven 3D Vision Feedback System for Bilateral Rehabilitation Application, Proceedings of 2012 IEEE International Conference on Mechatronics and Automation, pp.1750-1755, August 5-8, Chengdu, China, 2012. (EI)
  • Muye Pang, Shuxiang Guo, Zhibin Song and Songyuan Zhang, A Surface EMG Signals-based Real-time Continuous Recognition for the Upper Limb Multi-motion, Proceedings of 2012 IEEE International Conference on Mechatronics and Automation, pp.1984-1989, August 5-8, Chengdu, China, 2012. (EI)
  • Shuxiang Guo, Songyuan Zhang, Zhibin Song and Muye Pang, Design of a Master-slave Rehabilitation System using Self-tuning Fuzzy PI Controller, Proceedings of 2012 IEEE International Conference on Mechatronics and Automation, pp.2088-2092, August 5-8, Chengdu, China, 2012. (EI)
  • Kui Xiang, Shuxiang Guo, Zhibin Song, An Electromyography-driven Central Pattern Generator Model for Robotic Control Application,Proceedings of 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012), pp.2050-2055, Dec. 11-Dec. 14, Guangzhou, China, 2012. (EI)
  •  
    Book Chapter

  • Shuxiang Guo and Zhibin Song, Development of a Bilateral Assistance and Coordination Rehabilitation Training System, Early Detection and Rehabilitation Technologies for Dementia: Neuroscience and Biomedical Applications, publisher:IGI Global. ISBN: 978-1-60960-559-9, Chapter 36, pp.293-306, 2011.
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