This minor continuation proposal is added as we realised that we need additional storage to train the final model. This is the last step of the project after which it will be concluded and we will write the project report. Old information: This is a continuation project of Modelling of upper limb muscular system using learning based system identification to finalise the last part of the project. The continuation project will focus on real-time testing of the model. NAISS resources are needed to train the model on data measured from participants. The model will then be run on a desktop pc where the participant will perform virtual assessments of prosthetic control. Original proposal text: 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.