Combined Measurement System for the Evaluation of Multi Causal Strain
- This work addresses the problem of measuring psychological strain in humans by the use of physiological data. The aim of the work is the research, development and evaluation of a measurement system for the acquisition of such data from humans and the differentiation of psychological and physical strain with the help of machine learning algorithms. The developed system records and analyzes the ECG, the EMG, as well as the skin conductance, and combines these physiological parameters with the subject’s physical activity. The main purpose of this measurement system is to assess both types of strain in employees at their workplaces.
Document Type: | Conference Object |
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Language: | English |
Parent Title (English): | Karsh (Ed.): Ergonomics and Health Aspects of Work with Computers. International Conference, EHAWC 2009, held as Part of HCI International 2009, San Diego, CA, USA, July 19-24, 2009. Proceedings |
First Page: | 186 |
Last Page: | 194 |
ISBN: | 978-3-642-02730-7 |
DOI: | https://doi.org/10.1007/978-3-642-02731-4_22 |
Publication year: | 2009 |
Tag: | ambulatory monitoring; decision tree learning; machine learning; multi causal strain; physical activity; physiological monitoring; strain; stress |
Departments, institutes and facilities: | Fachbereich Informatik |
Institut für Sicherheitsforschung (ISF) | |
Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
Entry in this database: | 2015/04/02 |