Analysis of Construction Trade Worker Body Motions Using a Wearable and Wireless Motion Sensor Network

Enrique Valero, Aparajithan Sivanathan, Frédéric Bosché, Mohamed Samir Abdel - Wahab

Research output: Contribution to journalArticle

26 Citations (Scopus)
81 Downloads (Pure)

Abstract

Biomechanical analysis of construction workers has been considerably improved
with the development of wearable sensors. Information delivered by
these systems is playing an important role in the evaluation of postures as well
as in the reduction of work-related musculoskeletal disorders (WRMSDs). In
this article, we present a novel system and data processing framework to deliver
intuitive and understandable motion-related information about workers.
The system uniquely integrates Inertial Measurement Unit (IMU) devices in
a wireless body area network, and the data processing uses a robust state
machine -based approach that assesses inadequate working postures based on
standard positions defined by the International Organization for Standardization
(ISO). The system and data processing framework are collectively
validated through experiments carried out with college trainees conducting
typical bricklaying tasks. The results illustrate the robustness of the system
under demanding circumstances, and suggest its applicability in actual
working environments outside the college.
Keywords: MSD, Postures, Construction, Wirel
Original languageEnglish
Pages (from-to)48-55
Number of pages8
JournalAutomation in Construction
Volume83
Early online date29 Aug 2017
DOIs
Publication statusPublished - Nov 2017

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