Fabio Egle

PhD candidate @AIROB

Assistive Intelligent Robotics Lab | AIROB Lab

Summary

In January 2022, I joined the Assistive Intelligent Robotics as a PhD candidate. Since then, I have been researching the usage of biosignal analysis, machine learning methods and virtual reality for assistive robotics. In this context, I focus on intent detection to control upper limb prosthetics. Since September 2022, I have been part of the EU Horizon Project “IntelliMan”.

Previously, I completed a Master’s degree in Medical Engineering at the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). In my Master’s thesis, I worked on the usage of physical and cognitive exergames for the treatment of predementia and developed a prototype of an IMU-based 3D game for this purpose.

Teaching

WS22

(Seminar) Biosignals in Rehabilitation Robotics
(Academic Lab) Hands-on Rehabilitation and Assistive Robotics

SS22

(Seminar) Biosignals in Rehabilitation Robotics
(Exercise) Intent Detection and Somatosensory Feedback
(Academic Lab) Hands-on Rehabilitation and Assistive Robotics
(Research Lab) Rehabilitation and Assistive Robotics

Publications

F. Egle and D. Di Domenico et al., ‘Preliminary Assessment of Two Simultaneous and Proportional Myocontrol Methods for 3-DoFs Prostheses Using Incremental Learning’, in 2023 International Conference on Rehabilitation Robotics (ICORR), Sep. 2023, pp. 1–6. doi: 10.1109/ICORR58425.2023.10304813.
F. Egle, F. Kluge, D. Schoene, L. Becker, & A. D. Koelewijn (2022). ‘Development of an Inertial Sensor-Based Exergame for Combined Cognitive and Physical Training’, in 2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN), 1–4. https://doi.org/10.1109/BSN56160.2022.9928474
F. Egle, ‘Feasibility Testing of Exergames for Patients with Mild Cognitive Impairment’, Master’s Thesis, Machine Learning and Data Analytics Lab, Friedrich-Alexander Universität Erlangen-Nürnberg, 2021. [Online]. Available: Link