A preliminary experimental outline to train machine learning models for the unobtrusive, real-time detection of acute physiological stress levels during training exercises Link: http://hdl.handle.net/20.500.12738/13075 Autor/in: Jeworutzki, André Schwarzer, Jan von Luck, Kai Draheim, Susanne Wang, Qi Verlag/Körperschaft: Association for Computing Machinery Erscheinungsjahr: 2021 Medientyp: Text Schlagworte: activity recognition inertial measurement units physiological sensors stress determination supervised machine 620: Ingenieurwissenschaften ddc:620 Quellsystem: ReposIt Interne Metadaten Quelldatensatz oai:reposit.haw-hamburg.de:20.500.12738/13075