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

Antonio Lanata, Alberto Greco, Stefano Di Modica, Francesco Niccolini, Federico Vivaldi, Fabio Di Francesco, Christian Tamantini, Francesca Cordella, Loredana Zollo, Marco Di Rienzo, Carlo Massaroni, Emiliano Schena, Mariasabrina Di Sarto, Enzo Pasquale Scilingo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.e., activity detection, electrocardiogram (ECG), sweat rate, body temperature, and textile integrated respiration sensors). Preliminary and encouraging results are shown in terms of physiological signals and physical activity detection.

Original languageEnglish
Title of host publication2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages187-190
Number of pages4
ISBN (Electronic)9781728148922
DOIs
Publication statusPublished - Jun 2020
Event2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Roma, Italy
Duration: Jun 3 2020Jun 5 2020

Publication series

Name2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings

Conference

Conference2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020
CountryItaly
CityRoma
Period6/3/206/5/20

Keywords

  • Biomedical Signal Processing
  • Machine Learning
  • Mobile Platform
  • Smart Textile
  • Wireless Body Area Sensor Network
  • Work Risk Assessment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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  • Cite this

    Lanata, A., Greco, A., Di Modica, S., Niccolini, F., Vivaldi, F., Di Francesco, F., Tamantini, C., Cordella, F., Zollo, L., Di Rienzo, M., Massaroni, C., Schena, E., Di Sarto, M., & Scilingo, E. P. (2020). A New Smart-Fabric based Body Area Sensor Network for Work Risk Assessment. In 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings (pp. 187-190). [9138273] (2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MetroInd4.0IoT48571.2020.9138273