The aim of the project is the conception, development and testing of „MoGaSens“ (in German for: „Mobiles Ganzkörper-Sensorsystems“), an IT-based system for the fitness-oriented prevention and training application under the supervision of experts. MoGaSens is intended to measure medical and training-relevant parameters (including EMG, ECG, acceleration and gyro sensors, respiratory sensor, pulse plethysmography and temperature sensor) and, based on this, make statements about the fitness status of users. The project is carried out in collaboration with the Institutes of Sports and Exercise Medicine at the University of Hamburg and Life Sciences at HAW Hamburg, as well as the company Hamburg Applications. The project receives European funding from the Hamburgische Investitions- und Förderbank.
André Jeworutzki, Jan Schwarzer, Kai von Luck, Susanne Draheim, and Qi Wang. 2021. A Preliminary Experimental Outline to Train Machine Learning Models for the Unobtrusive, Real-Time Detection of Acute Physiological Stress Levels during Training Exercises. In The 14th PErvasive Technologies Related to Assistive Environments Conference (PETRA 2021), June 29-July 2, 2021, Corfu, Greece. ACM, New York, NY, USA, 10 pages. doi: 10.1145/3453892.3461833