2020
DOI: 10.1109/icaica50127.2020.9182510
View full text
|
Sign up to set email alerts
|
Share

Abstract: Surface electromyogram (sEMG) provides a promising means to develop a non-invasive prosthesis control system. In the context of transradial amputees, it allows a limited but functionally useful return of hand function that can significantly improve patients' quality of life. In order to predict users' motion intention, the ability to process multichannel sEMG signals generated by muscle is required. We propose an attention-based Bidirectional Convolutional Gated Recurrent Unit (Bi-CGRU) deep neural network to …

Expand abstract

Search citation statements

Order By: Relevance

Citation Types

1
2
0

Paper Sections

0
0
0
0
0

Publication Types

0
0
0
0

Relationship

0
0

Authors

Journals