[HTML][HTML] Motion capture technology in industrial applications: A systematic review

M Menolotto, DS Komaris, S Tedesco, B O'Flynn… - Sensors, 2020 - mdpi.com
The rapid technological advancements of Industry 4.0 have opened up new vectors for novel
industrial processes that require advanced sensing solutions for their realization. Motion …

Wearable sensing technology applications in construction safety and health

CR Ahn, SH Lee, C Sun, H Jebelli, K Yang… - Journal of Construction …, 2019 - ascelibrary.org
The advent of wearable sensing technologies has produced unprecedented opportunities
for the near real-time collection and analysis of workers' safety and health data. To …

Wearable devices: Cross benefits from healthcare to construction

Z Abuwarda, K Mostafa, A Oetomo, T Hegazy… - Automation in …, 2022 - Elsevier
The use of smart wearables provides an opportunity to improve construction safety and
productivity. Because the healthcare industry has been at the forefront of applying such …

Collective sensing of workers' gait patterns to identify fall hazards in construction

K Yang, CR Ahn, MC Vuran, H Kim - Automation in construction, 2017 - Elsevier
Current hazard-identification efforts in construction mostly rely on human judgment, a reality
that leaves a significant number of hazards unidentified or not well-assessed. This situation …

Inferring workplace safety hazards from the spatial patterns of workers' wearable data

K Yang, CR Ahn - Advanced Engineering Informatics, 2019 - Elsevier
Hazard identification in construction typically requires safety managers to manually inspect
an area. However, current approach is very limited due to the dynamic nature of construction …

Validating ambulatory gait assessment technique for hazard sensing in construction environments

K Yang, CR Ahn, H Kim - Automation in Construction, 2019 - Elsevier
Wearable sensing technology offers the opportunity to collect an individual's physical
response data in occupational settings; recent studies highlight the usefulness of such data …

Ubiquitous fall hazard identification with smart insole

D Chen, G Asaeikheybari, H Chen… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Falls are leading causes of nonfatal injuries in workplaces which lead to substantial injury
and economic consequences. To help avoid fall injuries, safety managers usually need to …

An efficient automatic gait anomaly detection method based on semisupervised clustering

Z Yang - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
The aim of this work is to develop a common automatic computer method to distinguish
human individuals with abnormal gait patterns from those with normal gait patterns. As long …

Tracking divergence in workers' trajectory patterns for hazard sensing in construction

K Yang, CR Ahn, H Kim - Construction Research Congress 2018, 2018 - ascelibrary.org
In construction, hazard identification is a critical first step in safety management. To
complement current hazard identification practices that rely on manual inspection, our …

Deciphering workers' safety attitudes by sensing gait patterns

C Sun, CR Ahn, K Yang, T Stentz, H Kim - … , DHM 2017, Held as Part of HCI …, 2017 - Springer
Workers' unsafe behaviors are a top cause of safety accidents in construction. In practice,
the industry relies on training and education at the group level to correct or prevent unsafe …