WellFiciency

Optimising operator well-being while maintaining production efficiency

About the project

Manufacturing is paying more and more attention to human centricity and the quality of working life. WellFiciency develops a methodology to monitor operator well-being continuously and to balance it with production efficiency.

  • Holistic measurement: physical measures, such as postural ergonomics and joint torques, are combined with cognitive measures, such as cognitive load, stress and engagement, at task level. Job-level and personal characteristics are added. Real-time sensor data is linked with feedback from short surveys and questionnaires.
  • A digital twin of operator well-being, built with privacy and ethics safeguards. It supports role-specific dashboards for operators, team leads and prevention advisors, and helps optimise task allocation and scheduling.
  • Validation with stakeholders throughout the project, using validation cases that reproduce real industrial challenges.
Key facts
Programme Flanders Make SBO project
Duration April 2023 – March 2027
Partners Flanders Make, HIVA – KU Leuven and others

My contributions

I am responsible for the end-to-end data pipeline for fatigue estimation and recovery recommendations, based on data collected from wearable sensors:

  • Integration of the team’s components into a single, operational pipeline.
  • Science-based well-being metrics that turn sensor and task data into practical recommendations.
  • Validation in near-industrial settings, preparing the solution for use with industrial partners.

Technologies: data pipelines, sensor data processing, ergonomics and human-factors analytics.

Camilo Velázquez-Rodríguez
Camilo Velázquez-Rodríguez
Research Engineer

Research Engineer turning industrial data and AI into deployed solutions for manufacturing, with expertise in digital twins (AAS), data engineering and machine learning.