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Resilience Scores from Wearable Biosignal Sensors for Decision Support of Worker Allocation in Production

Autor*innen:
Paletta, Lucas and Schneeberger, Michael and Pszeida, Martin and Mosbacher, Jochen and Haid, Florian and Tschuden, Julia and Zeiner, Herwig
Abstract:
Mental health and wellbeing have to be considered on an equal footing when designing digitalized workplaces in production. We present the configuration of selected wearable sensor technologies together with the architecture of the Intelligent Sensor Box to enable monitoring resilience scores at the production site. The wearables include a Garmin vivosmart 5 fitness tracker to provide cardiovascular data, the greenTEG CORE body temperature sensor, Pupil Labs Neon eye tracking glasses and an optional sanSirro QUS smart shirt with textile biosignal measurements of vital parameters. We provide a framework to integrate a sequence of daily strain scores within a predetermined time window of a preceding working period, and finally integrate this into a current resilience score. We present the estimation of the daily strain score based on the wearable sensing data that were captured in the Human Factors Lab in Austria during activities that are characteristic for the car production workplace. Furthermore, we demonstrate how resilience scores would impact the decisionmaking in the use case of daily dynamic worker allocation.
Titel:
Resilience Scores from Wearable Biosignal Sensors for Decision Support of Worker Allocation in Production
Herausgeber (Verlag):
AHFE International

Publikationsreihe

Buchtitel
Cognitive Computing and Internet of Things
Herausgeber(Verlag)
AHFE International
ISSN
27710718
Weitere Dateien und links
Jahr/Monat:
2024

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