A New Smart-Fabric based Body Area Sensor Network for Work Risk Assessment

@article{Lanat2020ANS,
  title={A New Smart-Fabric based Body Area Sensor Network for Work Risk Assessment},
  author={Antonio Lanat{\`a} and Alberto Greco and Stefano Di Modica and Francesco Niccolini and Federico Maria Vivaldi and Fabio Di Francesco and Christian Tamantini and Francesca Cordella and Loredana Zollo and Marco Di Rienzo and Carlo Massaroni and Emiliano Schena and Mariasabrina Di Sarto and Enzo Pasquale Scilingo},
  journal={2020 IEEE International Workshop on Metrology for Industry 4.0 \& IoT},
  year={2020},
  pages={187-190}
}
  • A. Lanatà, A. Greco, E. Scilingo
  • Published 1 June 2020
  • Computer Science
  • 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT
This study reports on a novel Smart-Fabric based wireless Body Area Sensor Network for assessing psychological and physiological work risk levels. The combination of smart-sensing fabrics advantages, high electronic miniaturization, and the latest machine learning enables the system to assess the risk level of the worker. The body area sensor network includes a smartphone, an artificial intelligence algorithm for risk assessment, and a set of sensor-nodes integrated into a textile substrate (i… 
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