Benjamin Groh

Dipl.-Ing. Benjamin Groh


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

Carl-Thiersch-Straße 2b
91052 Erlangen

Academic CV

April – September 2017 Research exchange at the Instituto Universitario de Automática e Informática Industrial at the Universitat Politècnica de València, Spain
 since 2013
Phd student of the Machine Learning and Data Analytics Lab (formerly: Digital Sports Group) at the FAU Erlangen-Nürnberg, Germany
 2012 Diploma (Dipl.-Ing.) in Mechatronics, FAU Erlangen-Nürnberg, Germany
Diploma Thesis: “Localization in Parking Infrastructure” in cooperation with BMW Munich, Forschung & Technik GmbH, Germany
 2010 / 2011 Studies abroad with the ERASMUS Program at Universitat Politècnica de València, Spain
Project Thesis: “Analysing of Advanced Sensors and Development of a User Interface with Additional Filter Options”
 2005 – 2012

Engineering studies in mechatronics at FAU Erlangen-Nürnberg,, Germany
Major subjects: control engineering, sensor technologies

 2005 Abitur (University Entrance Qualification), Schiller-Gymnasium Hof, Germany








Research Projects

Please visit my project page.


BT (2013) Adrian Hauck: “Analysis of a GPS/IMU Sensor System Influenced by an Oscillating Acceleration”
BT (2014) Nicolas Weeger: “Development of a Ski Jumping Analysis and Presentation System Based on a 9-DoF IMU”
BT (2014) Fabian Hofmann: “9D-IMU Calibration and Alignment Correction”
BT (2014) Thomas Zeiser: “3D-Orientation Determination and Visualization of Skateboard Motion”
RI (2015) Richard Koopmann: “Badminton Stroke Detection and Stroke Classification with IMU”
BT (2015)

Philipp Schlieper: “Automatic camera control in sports”

BT (2015) Tobias Cibis: “IMU-based Determination and Analysis of Biomechanical Parameters in Scuba Diving”
RI (2016) Sina Dölfel: “Quaternion based Orientation Calculation for Rowing Stroke Intervals”
BT (2016) Rolf Halmen: “Jump phase determination in ski jumping based on inertial-magnetic measurement units”
MT (2016) Martin Fleckenstein: “IMMU-based Classification in Board Sports Using Orientation Features”
(Luise Prell Award, 2017)
BT (2017) Andrea Albrecht: “Estimation of Heading Angle and Weight Distribution in Snowboarding based on Wearable Sensors”
BT (2017) Jasmin Flaschka: “Estimation and Visualization of Skateboard Pressure Distribution”
MT (2017) Christian Wamser: “Sensor-Fusion für IMMU/UWB Positionsbestimmung”

RI: Research Internship
BT: Bachelor Thesis
MT: Master Thesis