Admission Procedure

LIU Kun

Oct 11, 2024    Hits:

                                                   Liu Kun


Brief Education  

Kochi University of technology Japan, Doctor of mechanical engineering, July 2007-- Sep. 2010


Work Background

Jilin University, Mechanical engineering (Master and Doctor Tutor), Sep. 2010-- Sep. 2024

Zhejiang University of Science and Technology, Mechanical engineering (Master Tutor), Sep. 2024--Present


Email: kunliu@jlu.edu.cn


Main Research Interests
Human body kinematics and dynamic sensing technology, artificial intelligence machinery and human motion rehabilitation robot.


Main Research Projects

1. Research and development of wearable intelligent bionic rehabilitation robot

2. Industrialization of intelligent rehabilitation robots

3. Research and development of mechanical structure for Pukang Medical DA-7 electric hospital bed

4. Research on Key Technologies of Intelligent Bionic Lower Limb Rehabilitation External Equipment


Main Published Papers

1, 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).

2, 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).

3, Kun Liu, Yong Liu, Shuo Ji, Chi Gao, Shizhong Zhang, Jun Fu. A Novel Gait Phase Recognition Method Based on DPF-LSTM-CNN Using Wearable Inertial Sensors. Sensors (Basel) eISSN:1424-8220. 2023,Volume23 Issue13.

4, Kun Liu, Shuo Ji, Yong Liu, Chi Gao, Shizhong Zhang, Jun Fu, Lei Dai.. Analysis of Ankle Muscle Dynamics during the STS Process Based on Wearable Sensors. Sensors (Basel) eISSN:1424-8220. Volume23Issue14.

5, Kun Liu, Ji Shuo, Liu Yong, Ga Ch, Fu Jun; Dai Lei, Zhang Shizhong. Design and Optimization of Multifunctional Human Motion Rehabilitation Training Robot EEGO. ACTUATORS eISSN:2076-0825, Volume12 Issue8.

6, Kun Liu, Liu Yong, Ji Shuo, Gao Chi, Fu Jun. Estimation of muscle forces of lower limbs based on CNN-LSTM neural network and wearable sensor system. Sensors (Basel) eISSN:1424-8220, Volume24 Issue3.

7, Kun Liu, Shuo Ji, Yong Liu, Shizhong Zhang, Lei Dai. Design and Optimization of an Adaptive Knee Joint Orthosis for Biomimetic Motion Rehabilitation Assistance. Biomimetics eISSN:2313-7673, Volume9 Issue2.