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...
Saved in:
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Signal processing based on EMG-based system
by: Kwan, Guowei.
Published: (2009) -
EMG-based rehabilitation device for upper and lower limb persons with disabilities via bicycle motion
by: Kittichai Tharawadeepimuk, et al.
Published: (2018) -
Machine learning and real-time prediction of human motion for intelligent human-machine interfaces
by: Chen, Yongming
Published: (2021) -
Pedestrian motion prediction using deep generative networks
by: Ong, Xing Long
Published: (2019) -
Recognition of yoga poses using EMG signals from lower limb muscles
by: Pradchaya Anantamek, et al.
Published: (2020)