A methodology to select wearable devices for Industry 5.0 applications

The adoption of wearable devices is crucial in Industry 5.0 applications, but the devices’ selection is cumbersome for practitioners and researchers due to the wide availability of models in the market. This work proposes a methodology based on the Analytic Hierarchy Process method to support the wearable devices selection in Industry 5.0 applications. The methodology helps in identifying the most suitable devices starting from the application requirements and devices’ features analysis. We tested the methodology in a real industrial setting (human fatigue detection), successfully identifying the two most suitable wearable devices among a list of 110 alternatives.