Malte Ollenschläger

Malte Ollenschläger, M. Sc.

Researcher & PhD Candidate

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room: Room 01.012
Carl-Thiersch-Straße 2b
91052 Erlangen

Malte Ollenschläger’s Research Focus

Wearable sensor systems using inertial measurement units (IMUs) enable objective and ubiquitous gait analysis. Being technically validated and able to report spatio-temporal gait parameters (e.g. stride length, stride time, rotation angles) with a high resolution, they are still not used in clinical practice, for example in geriatrics. Most clinicians use more traditional methods like questionnaires or macro gait parameters such as walked distance within a certain time as measured by stopwatches.

My research focuses on applications of IMU-based gait analysis in geriatric wards to bridge the gap between research and clinical practice. Closing this gap is important because researchers could use the tremendous amount of data that is generated in everyday practice and thus build reliable models and algorithms. Furthermore, closing the gap can accelerate the translation of the developed methods into innovation in medicine.


Academic CV

Since 06/2020 Research Assistant 
Molekulare Neurologie
Universitätsklinik Erlangen (UKER)
05/2020 – 11/2020 Fellow of Catalyst Europe
Since 01/2018 Research Assistant and Ph.D. candidate
Machine Learning and Data Analytics Lab
Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
06/2017 – 09/2017 Research Assistant
Universidade do Vale do Rio dos Sinos (Unisinos) São Leopoldo, Brazil
10/2014 – 10/2016 M.Sc. in Medical Engineering
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)Master Thesis: “Benchmarking Foot Trajectory Estimation Methods
06/2011 – 01/2013 Student Assistant
Medical Sensors and Devices Laboratory Technische Hochschule Lübeck
09/2010 – 08/2014 B.Sc. in Biomedical Engineering
Technische Hochschule Lübeck, University of Applied Sciences
Bachelor Thesis: “Entwicklung von Algorithmen zur Unterdrückung von Bewegungsartefakten in der Photoplethysmographie


10/2017 Winner of the Open Research Challenge “IMAGINE”
Development of a visualization tool for inertial sensor based gait analysis
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
02/2015 Bookprize
Best student of the year award in the faculty of applied science
Technische Hochschule Lübeck
09/2012 – 02/2014 Deutschlandstipendium
Scholarship for excellent academic performance and volunter work
Bundesministerium für Bildung und Forschung
03/2006 Rudolf-Hellebrandt-Preis
In honor of volunteer work
Fördergemeinschaft Kinderkrebs-Zentrum Hamburg e.V.












  • “IMU Data Processing and its Application in Gait Analysis”, Lightning Talks Computer Science, FAU, Erlangen.
  • “Ganganalyse bei geriatrischen Patienten mittels mobiler Sensoren”, Sitzung AGAPLESION Arbeitsbereich Geriatrie, Frankfurt am Main.


Malte Ollenschläger was the Scrum Master of several Teams in the Innovation Lab for Wearable and Ubiquitous Computing: