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Worker safety in agriculture 4.0: A new approach for mapping operator’s vibration risk through Machine Learning activity recognition

  • Published:2022-02 Issue: Volume:193 Page:106637
  • ISSN:0168-1699
  • Container-title:Computers and Electronics in Agriculture
  • language:en
  • Short-container-title:Computers and Electronics in Agriculture

Author:

Aiello Giuseppe,Catania Pietro,Vallone Mariangela,Venticinque Mario

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference33 articles.

1. Real time assessment of hand-arm vibration system based on capacitive MEMS accelerometers;Aiello;Comput. Electron. Agric.,2012

2. Safety Optimized Shift-Scheduling System based on Wireless Vibration Monitoring for Mechanical Harvesting Operations;Aiello;Chem. Eng. Trans.,2017

3. Optimising the efficiency of olive harvesting considering operator safety;Aiello;Biosyst. Eng.,2019

4. Bochtis, D. Human Activity Recognition through Recurrent Neural Networks for Human-Robot Interaction in Agriculture;Anagnostis;Appl. Sci.,2021

5. Window Size Impact in Human Activity Recognition;Banos;Sensors,2014

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