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The SEBA System. A novel approach for assessing psychological stress continuously at the workplace

: Chodan, Wencke; Krause, Silvio; Meza-Cuevas, Mario A.; Kadner, Martin; Rockstroh, Jan; König, Carsten; Aehnelt, Mario; Urban, Bodo; Bieber, Gerald


Lüdtke, Stefan (Ed.); Bader, S.; Yordanova, K.; Kirste, T. ; Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Computer and Human Interaction -SIGCHI-; Fraunhofer-Institut für Graphische Datenverarbeitung -IGD-, Darmstadt:
iWOAR 2019, 6th international Workshop on Sensor-based Activity Recognition and Interaction. Proceedings : September 16-17, 2019, Rostock, Germany
New York: ACM, 2019 (ACM International Conference Proceedings Series)
ISBN: 978-1-4503-7714-0
Art. 10, 6 pp.
International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR) <6, 2019, Rostock>
Conference Paper
Fraunhofer IGD ()
Fraunhofer IGD-R ()
vital signs; Lead Topic: Digitized Work; Lead Topic: Individual Health; Research Line: Computer graphics (CG); Research Line: Human computer interaction (HCI); smart living

Stress at work is a major cause of health problems for the employees and of costs for companies and the healthcare system. To prevent stress-related disorders, first both the stress level and the exposition to possible stressors must be known. The SEBA system assesses both and produces live data streams that are constantly and automatically evaluated. The system is a head-worn portable device. Multiple sensors assess biosignals of the users that are known to be sensitive towards the feeling of stress (e.g., pulse, eye blink rate, breathing rate, brain activity) and ambient conditions that could influence the feeling of stress (e.g., air quality, flickering lights, temperature, draft). SEBA classifies the individual stress level using a neural network and sends the processed data to a mobile application for visualization purposes. In this paper, we introduce the concept of the SEBA system, including its hardware, sensors, firmware, and software. The SEBA system is currently being development; the paper outlines the current state of development and possible obstacles.