Bastian Dänekas is a research associate in the Digital Media Group at the Technology Center for Computer Science and Information Technology (TZI) at the University of Bremen. His research interests include exergames and entertainment computing (EC), computer science in sports, feedback systems, and motion analysis in weight training. His focus is on applying machine learning methods to motion data recorded using different sensors.
He studied computer science at the University of Bremen from 2014. During this time, he dealt with topics from human-technology interaction and dedicated his bachelor thesis to the usability analysis of an interaction system for dementia patients.
In his master's program, Bastian specialized in computer science in sports, especially in the area of exercise support and analysis in weight training. In his master's thesis, he investigated whether a single inertial measurement unit (IMU) built into a smartphone is sufficient for analyzing the execution quality of a push-up.
Bastian has been working on his PhD since November 2020. He is working on the topic of targeted heart rate zone training for different sport applications in regards on how digital media technology can improve the effectivity and efficiency in this applications.