Detection of physical strain and fatigue in industrial environments using visual and non-visual sensors

被引：3
|
作者：
Papoutsakis, Konstantinos [1 ]
Papadopoulos, Thodoris [1 ]
Maniadakis, Michalis [1 ]
Lourakis, Manolis [1 ]
Pateraki, Maria [1 ,3 ]
Varlamis, Iraklis [1 ,2 ]
机构：
[1] Fdn Res & Technol, ICS, Athens, Greece
[2] Harokopio Univ Athens, Athens, Greece
[3] Natl Tech Univ Athens, Athens, Greece
来源：
THE 14TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2021 | 2021年
基金：
欧盟地平线“2020”;
关键词：
physical strain detection; fatigue detection; occupational safety; manufacturing; vision-based postural assessment; heart rate;
D O I：
10.1145/3453892.3461633
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
sustAGE is an ongoing project, developing an Internet of Things ecosystem, including smartphones, smartwatches, localization and environmental sensors and cameras to support ageing workers in industrial environments while performing assembly tasks, such a car manufacturing factory. In this context, we briefly describe a non-obtrusive method for assessing the physical strain of workers using visual data and a method for detecting worker fatigue using heart rate data acquired by smartwatches. The results of both methods are utilized by the recommendation system developed in sustAGE to support preventive actions towards work-related musculo-skeletal disorders and fatigue and to promote occupational safety.
引用
收藏
页码：270 / 271
页数：2
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