The FaMS component detects possible psychological (e.g., loss of attention, mental fatigue) or physical (e.g., tiredness) discomfort or harmful situations for a worker. The situations identified by this component can be targeted by other modules to trigger short term intervention, i.e., intervention that can be executed to support a specific worker during the current working shift. Examples of possible interventions include:
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providing visual support by highlighting which component is the next one to assemble, or where to insert a connector;
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increasing the support provided by the exoskeleton;
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taking a break;
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shut-down all information.
The FaMS and its dependencies are provided as Dockerized applications.
To start the FaMS and its dependencies, issue the up command:
docker-compose up -dThe FaMS is a backend application working over Apache Spark, thus a proper UI is not provided. When new physiological data come, the predicted fatigue level is published on the middleware.
- Documentation: https://isteps-sps-lab.github.io/bf-fams/
- Vincenzo Cutrona - vincenzo.cutrona@supsi.ch
- Giuseppe Landolfi - giuseppe.landolfi@supsi.ch