Simulation Techniques and Control Schemes in Electromyography for a Lower Limb and Power Assist Exoskeleton
This paper represents the first part of our work in which a successful exoskeleton system has been designed. With this design, the concentration is on effects of compliant human €“ exoskeleton robot on kinematics and muscle activity during human walking with or without carrying loads. In order to achieve these aims, two control methods are used: kinematic and surface electromyography (sEMG) €“ based control. In this article, three simulation techniques of sEMG signal are investigated. The obtained results of this work are very useful in designing and testing our actual exoskeleton system.
Keywords: exoskeleton, robot, sEMG, simulation, control
Download Full-Text
ABOUT THE AUTHORS
Ngoc Khoat Nguyen
Ngoc Khoat Nguyen received Msc degree in Automation and Control at Hanoi University of Science and Technology, in 2009. He is working as a Lecturer at Electric Power University in Hanoi, Vietnam. He is now doing PhD in the field of Automation at University of Electronic Science and Technology of China, Chengdu, Sichuan, China. His research interests include modeling and application of sEMG signal, control motor and robot.
Thi Mai Phuong Dao
Thi Mai Phuong Dao received Msc degree in Automation and Control at Hanoi University of Science and Technology, in 2010. She is working as a Lecturer at Hanoi University of Industry in Hanoi, Vietnam. He is now doing PhD in the field of Automation at Hunan University, Changsha, Hunan, China. Her research interests include modeling and experiment of sEMG signal, control theory and application.
Ngoc Khoat Nguyen
Ngoc Khoat Nguyen received Msc degree in Automation and Control at Hanoi University of Science and Technology, in 2009. He is working as a Lecturer at Electric Power University in Hanoi, Vietnam. He is now doing PhD in the field of Automation at University of Electronic Science and Technology of China, Chengdu, Sichuan, China. His research interests include modeling and application of sEMG signal, control motor and robot.
Thi Mai Phuong Dao
Thi Mai Phuong Dao received Msc degree in Automation and Control at Hanoi University of Science and Technology, in 2010. She is working as a Lecturer at Hanoi University of Industry in Hanoi, Vietnam. He is now doing PhD in the field of Automation at Hunan University, Changsha, Hunan, China. Her research interests include modeling and experiment of sEMG signal, control theory and application.