Journal of Construction Engineering and Management

Construction Activity Recognition and Ergonomic Risk Assessment Using a Wearable Insole Pressure System

Maxwell Fordjour Antwi-Afari, Heng Li, Ph.D., Yantao Yu, Xuejiao Xing

Department of Civil Engineering, College of Engineering and Physical Sciences, Aston University, Birmingham, United Kingdom

Schlagwörter

Activity recognition, Construction workers, Overexertion risk, Supervised machine learning classifiers, Wearableinsole pressure system, Work-related musculoskeletal disorders

Activity recognition, Construction workers, Overexertion risk, Supervised machine learning classifiers, Wearableinsole pressure system, Work-related musculoskeletal disorders

Zusammenfassung

Overexertion-related construction activities are identified as a leading cause of work-related musculoskeletal disorders (WMSDs)among construction workers. However, few studies have focused on the automated recognition of overexertion-related construction workers’activities as well as assessing ergonomic risk levels, which may help to minimize WMSDs. Therefore, this study examined the feasibility ofusing acceleration and foot plantar pressure distribution data captured by a wearable insole pressure system for automated recognition ofoverexertion-related construction workers’ activities and for assessing ergonomic risk levels. The proposed approach was tested by simulatingoverexertion-related construction activities in a laboratory setting. The classification accuracy of five types of supervised machine learningclassifiers was evaluated with different window sizes to investigate classification performance and further estimate physical intensity, activityduration, and frequency information. Cross-validation results showed that the Random Forest classifier with a 2.56-s window size achievedthe best classification accuracy of 98.3% and a sensitivity of more than 95.8% for each category of activities using the best features ofcombined data set. Furthermore, the estimation of corresponding ergonomic risk levels was within the same level of risk. The findingsmay help to develop a noninvasive wearable insole pressure system for the continuous monitoring and automated activity recognition, whichcould assist researchers and safety managers in identifying and assessing overexertion-related construction activities for minimizing thedevelopment of WMSDs’ risks among construction workers.

Moticon's Schlussfolgerungen

Kontaktiere uns
Buche eine kostenlose Online-Demo oder verwende das Kontaktformular, um mit uns in Kontakt zu treten.
Newsletter
Trage Dich in unseren Newsletter ein, um regelmäßige Updates zu erhalten
Verwendete Produkte von Moticon

Select your desired system

The cutting edge test based outcome assessment system for health professionals and trainers

The most versatile toolkit for free data acquisition and comprehensive analytics in research

Have a general inquiry?

Write us a message for general questions about products and solutions or if you’d like to discuss other topics.


Wähle Deine Produktelinie

Mobile Ganganalysen und sportmotorische Tests für Trainer und Therapeuten – objektiv und effizient.

Das flexible System für freie Datenerfassung und fortgeschrittene Analysen in der Forschung.

Du möchtest eine Anfrage stellen?

Schreibe uns eine Nachricht zu allgemeinen Fragen über Produkte oder zu anwendungsbezogenen Themen, die Du besprechen möchtest.


Das Formular wurde erfolgreich gesendet.

Wir werden uns in Kürze mit dir in Verbindung setzen.

moticon-rego-sensor-insole-live-event

Immer einen Schritt voraus!

Abonniere unseren Newsletter für die neuesten Informationen zu Fallstudien, Webinaren, Produkt-Updates und Neuigkeiten bei Moticon

Hole dir Unterstützung

Finde Antworten zu den häufigsten Fragen in unseren FAQ

Beschreibe Dein Problem so detailliert wie möglich. Hänge Screenshots oder Daten an, sofern das hilfreich ist.


Need help?
Want a live demo?
Interested in prices?
Want to say hello?
Always just a call away
+49 89 2000 301 60
Du brauchst Unterstützung?
Du möchtest eine Live Demo?
Interessiert an Preisen?
Du hast Fragen?
Nur einen Anruf entfernt
+49 89 2000 301 60

The form was sent successfully.

You will be contacted shortly.

Get support

Check our FAQ database for answers to frequently asked questions

Describe your issue in as much detail as possible. Include screenshots or files if applicable.