Faculty

LIU Kun

Professor

Email: kunliu@jlu.edu.cn

Website: https://teachers.jlu.edu.cn/kunliu

Educational Background

2012 - 2014 Tokyo University Japan, Post-doctoral

2007 - 2010 Kochi University of Technology Japan, Doctor

2004 - 2007 Yanshan University, Master

2000 - 2004 Yanshan University, Bachelor

Professional Experience

2018 –Now Professor, School of Mechanical and Aerospace Engineering

2014 – 2018 Associate Professor, School of Mechanical and Aerospace Engineering

2013 – 2014 Senior visiting scholar, Western Kentucky University, USA

2010 – 2014 Associate Professor, School of Mechanical and Aerospace Engineering

Research Interests

Mechanism Design and Intelligent Control of Bionic Rehabilitation External Auxiliary Robot

Human Biomechanics Based on Composite Sensor Fusion

Rehabilitation Diagnosis and Treatment Method of Combination of Medical and Worker

Research Projects

2012.01-2015.12 National Natural Science Foundation of China “Mechanical Engineering"

Selected Publications

1. Kun Liu, Yoshio Inoue, Kyoko Shibata, Cao Enguo. Ambulatory Estimation of Knee joint kinematics in Anatomical coordinate system Using Accelerometers and Magnetometers. IEEE Transaction on Biomedical Engineering. 2011, 58(2): 435-442.

2. Kun Liu, Yoshio Inoue, Kyoko Shibata. Physical-sensor difference and virtual-sensor difference based method for visual and quantitative estimation of lower limb 3D gait posture using accelerometers and magnetometers. Computer Methods in Biomechanics and Biomedical Engineering. 2012, 15(2): 203–210.

3. Kun Liu,Tao Liu, Kyoko Shibata, Yoshio Inoue, Rencheng Zheng. Novel Approach to Ambulatory Assessment of Human Segmental Orientation on a Wearable Sensor System. Journal of Biomechanics. 2009, 42(16):2747-2752.

4. Kun Liu, Jianchao Yan, Yong Liu, Ming Ye. Noninvasive Estimation of Joint Moments with Inertial Sensor System for Analysis of STS Rehabilitation Training. Journal of Healthcare Engineering, Vol 2018 (2018)

5. Kun Liu, Yong Liu, Jianchao Yan, Zhenyuan Sun. Nondestructive Estimation of Muscle Contributions to STS Training with Different Loadings Based on Wearable Sensor System. Sensors (Basel). 2018,18(4).

Courses

Course Name:Theoretical mechanics

Credit Hour:68

Credit: 4

Course Name:biomechanics

Credit Hour:16

Credit: 1

Course Name:Kinetics of human motion

Credit Hour:32

Credit: 2

Patents and Applications

1. Arm type lower limb rehabilitation training robot, ZL2015100666214, China

2. Multifunctional gait correction and walking load reducer, ZL 2015109479247, China

3. Ultra thin hidden multifunctional automatic lifting and lighting device, ZL 2016108046731, China

4. Multi functional motion assistance robot for sitting, standing and walking, ZL 2018109575892, China

5. Intelligent toilet movement assistance and standing protection wheelchair,ZL 2017217818276,China

6. STS rehabilitation exercise training robot,ZL 2017217837633,China

Other Professional Activities

1. Member of a council,Chinese society of mechanics