A preliminary experimental outline to train machine learning models for the unobtrusive, real-time detection of acute physiological stress levels during training exercises

Jeworutzki, André; Schwarzer, Jan; von Luck, Kai; Draheim, Susanne; Wang, Qi

doi:10.1145/3453892.3461833

Publisher DOI:	10.1145/3453892.3461833
Title:	A preliminary experimental outline to train machine learning models for the unobtrusive, real-time detection of acute physiological stress levels during training exercises
Language:	English
Authors:	Jeworutzki, André Schwarzer, Jan von Luck, Kai Draheim, Susanne Wang, Qi
Keywords:	activity recognition; inertial measurement units; physiological sensors; stress determination; supervised machine
Issue Date:	29-Jun-2021
Publisher:	Association for Computing Machinery
Book title:	The 14th PErvasive Technologies Related to Assistive Environments Conference
Part of Series:	ACM Other conferences
Startpage:	575
Endpage:	584
Conference:	International Conference on PErvasive Technologies Related to Assistive Environments 2021
URI:	http://hdl.handle.net/20.500.12738/13075
ISBN:	9781450387927
Institute:	Department Informatik Fakultät Technik und Informatik
Type:	Chapter/Article (Proceedings)
Appears in Collections:	Publications without full text