Data-driven operator functional state classification in smart manufacturing Ghent University
One of the main challenges in the industry is having trained and efficient operators in manufacturing lines. Smart adaptive guidance systems are developed that offer assistance to the operator during assembly. Depending on the operator's level of execution, the system should be able to serve a different guidance response. This paper investigates the assessment and classification of the operator's functional state using observed task execution ...