|
Title:
|
AN IOT-BASED SYSTEM FOR MEASURING PENIBILITY AT WORK |
|
Author(s):
|
Rémi Bastide |
|
ISBN:
|
978-989-8704-50-4 |
|
Editors:
|
Piet Kommers, Mário Macedo, Guo Chao Peng and Ajith Abraham |
|
Year:
|
2023 |
|
Edition:
|
Single |
|
Keywords:
|
Occupational Health, IoT |
|
Type:
|
Short |
|
First Page:
|
313 |
|
Last Page:
|
316 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
The reporting of arduous work conditions in the workplace is a legal requirement in France. We present an IoT-based system that is designed to automatically collect most of the penibility factors as required by regulations, thus able to replace the declarative-only reporting that is currently in use. Another goal of our system is to investigate which of the hardship factors contribute most to the work penibility as perceived by the workers themselves. |
|
|
|
|
|
|
