SUPR
Modelling of upper limb muscular system using learning based system identification
Dnr:

NAISS 2023/22-1223

Type:

NAISS Small Compute

Principal Investigator:

Morten Kristoffersen

Affiliation:

Chalmers tekniska högskola

Start Date:

2023-11-27

End Date:

2024-12-01

Primary Classification:

20602: Medical Materials

Webpage:

Allocation

Abstract

This project aims to build a model of human’s upper limb muscular system using learning-based system identification. The research work will try to explain the dynamics behind multi-channels EMG signals and the control mechanism behind upper limb muscular system. The outcomes of this project could help us get a better understanding and improve the control of upper limb prosthesis. The used methods are neural state-space identification and graph neural network, etc.