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

Publisher DOI:	10.1145/3532107.3532874
Title:	Determining acute physiological stress levels with wearable sensors based on movement quality and exhaustion during repetitive training exercises
Language:	English
Authors:	Jeworutzki, André
Editor:	Mueller, Florian Greuter, Stefan Khot, Rohit Ashok Sweetser, Penny Obrist, Marianna
Keywords:	activity recognition; acute physiological stress; Borg RPE scale; exhaustion; heart rate variability; inertial measurement units; movement quality; supervised machine learning
Issue Date:	13-Jun-2022
Publisher:	Association for Computing Machinery
Part of Series:	DIS 2022 Companion : Proceedings of the 2022 ACM Designing Interactive Systems Conference
Startpage:	12
Endpage:	17
Conference:	ACM Designing Interactive Systems Conference 2022
URI:	http://hdl.handle.net/20.500.12738/13064
ISBN:	9781450393591
Institute:	Department Informatik Fakultät Technik und Informatik
Type:	Chapter/Article (Proceedings)
Appears in Collections:	Publications without full text