Generative deep learning for lower limb motion prediction with a small training EMG data set
Human-Robot interaction rehabilitation systems have attracted widespread atten- tion among researchers and medical practitioners because they can help disabled people regain their mobility. Surface electromyography (sEMG) signals are ag- gregated muscle action potentials measured on the surface o...
Main Author: | Huang, Zhanfeng |
---|---|
Other Authors: | Lin Zhiping |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/168371 |
Similar Items
-
Signal processing based on EMG-based system
by: Kwan, Guowei.
Published: (2009) -
Pedestrian motion prediction using deep generative networks
by: Ong, Xing Long
Published: (2019) -
A novel upper limb training system based on UR5 using sEMG and IMU sensors
by: Liu, Z., et al.
Published: (2016) -
Investigation of the EMG-angle Relationship in the Upper-limb Muscles during Isometric Contraction
by: Rabbi, M. F., et al.
Published: (2017) -
EMG acquisition
by: Fatimah Mohamad Kamil
Published: (2009)