Paper Info
Title
Towards Smart Work Clothing for Automatic Risk Assessment of Physical Workload.
Abstract
Work-related musculoskeletal and cardiovascular disorders are still prevalent in today's working population. Nowadays, risk assessments are usually performed via self-reports or observations, which have relatively low reliability. Technology developments in textile electrodes (textrodes), inertial measurement units, and the communication and processing capabilities of smart phones/tablets provide wearable solutions that enable continuous measurements of physiological and musculoskeletal loads at work with sufficient reliability and resource efficiency. In this paper, a wearable system integrating textrodes, motion sensors, and real-time data processing through a mobile application was developed as a demonstrator of risk assessment related to different types and levels of workload and activities. The system was demonstrated in eight subjects from four occupations with various workload intensities, during which the heart rate and leg motion data were collected and analyzed with real-time risk assessment and feedback. The system showed good functionality and usability as a risk assessment tool. The results contribute to designing and developing future wearable systems and bring new solutions for the prevention of work-related disorders.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2855719
IEEE ACCESS
Keywords
Field
DocType
Energy expenditure,sitting,standing,occupational health,preventive healthcare,wearable sensors,sensorized garments
Population,Units of measurement,Workload,Wearable computer,Computer science,Usability,Risk management tools,Risk assessment,Risk management,Human–computer interaction,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
1
PageRank 
References 
Authors
0.48
0
8
Name
Order
Citations
PageRank
Liyun Yang131.27
Ke Lu295353.36
Jose A. Diaz-Olivares310.48
Fernando Seoane43310.13
Kaj Lindecrantz5369.52
Mikael Forsman632.29
Farhad Abtahi773.11
Jörgen Eklund811.16