Master Thesis: Shallow and deep unsupervised methods for myoelectric control of upper limb prostheses

The AIROB Lab has 1 open position for Master’s project to investigate shallow and deep unsupervised methods for myoelectric control of ULP.

In this research project, the student will investigate shallow and deep unsupervised approaches to myoelectric control of upper limb prostheses. To this end, the student will become familiar with possible methods and architectures. A method will be chosen and implemented in such a way that it can run in (semi-) real-time. After the development and training phase, the system will be tested online on healthy participants.

The tasks include, among others:

• Reasearch
• Implementation and training of selected methods
• Testing control in real-time
• Post-analysis

Required Qualifications

• Experience with Python
• (basic) Experience with DL/ML
• (basic) Experience with C#