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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.

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Document Type:Conference Object
Author:Holger Steiner, Dietmar Reinert, Norbert Jung
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
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