Determining acute physiological stress levels with wearable sensors based on movement quality and exhaustion during repetitive training exercises

Jeworutzki, André

doi:10.1145/3532107.3532874

Verlagslink DOI:	10.1145/3532107.3532874
Titel:	Determining acute physiological stress levels with wearable sensors based on movement quality and exhaustion during repetitive training exercises
Sprache:	Englisch
Autorenschaft:	Jeworutzki, André
Herausgeber*In:	Mueller, Florian Greuter, Stefan Khot, Rohit Ashok Sweetser, Penny Obrist, Marianna
Schlagwörter:	activity recognition; acute physiological stress; Borg RPE scale; exhaustion; heart rate variability; inertial measurement units; movement quality; supervised machine learning
Erscheinungsdatum:	13-Jun-2022
Verlag:	Association for Computing Machinery
Teil der Schriftenreihe:	DIS 2022 Companion : Proceedings of the 2022 ACM Designing Interactive Systems Conference
Anfangsseite:	12
Endseite:	17
Konferenz:	ACM Designing Interactive Systems Conference 2022
URI:	http://hdl.handle.net/20.500.12738/13064
ISBN:	9781450393591
Einrichtung:	Department Informatik Fakultät Technik und Informatik
Dokumenttyp:	Konferenzveröffentlichung
Enthalten in den Sammlungen:	Publications without full text