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.

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

Egle, F., Kluge, F., Schoene, D., Becker, L., & Koelewijn, A. D. (2022). Development of an Inertial Sensor-Based Exergame for Combined Cognitive and Physical Training. 2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN), 1–4. https://doi.org/10.1109/BSN56160.2022.9928474
F. A. 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