OPERATOR will develop a set of tools for risk exposure data analysis in the workplace, building on the concepts of Positive Ergonomics, Operator 4.0 and the Job Quality Indices by the Eurofound.
The project aims to create a technology framework which combines ubiquitous human movement tracking with worker self-reported endpoints for a holistic Digital Twin representation of shop floors.
The framework will collect and monitor data regarding workers’ activity and wellbeing on the individual and environmental level.
The project’s objective is to approach the Industry 4.0 workplace holistically but from the workers’ point of view.
OPERATOR’s framework will continuously monitor all the necessary variables for work study, job quality and mental health metrics to offer:
– Faster, accurate and ubiquitous digitalisation of work study, promoting continuous awareness of the interaction between the worker and his workplace
– Self-reporting to digitalise the assessment of job quality indices through personal and ubiquitous technologies designed with and for the worker
– Oversee tasks execution and implement adequate strategies to prevent workers from performing incorrect movements or sitting for long periods, reducing potential health issues and improving job efficiency
Faculty of Psychology and Education Sciences at the University of Porto
University of Minho
Institute for Medical Engineering Science at MIT
Operator 4.o; Industry 4.0; positive ergonomics; job quality; digital twin; data collection; data analysis; wearable technologies; workplace; job efficiency; data harmonisation.