Risk factors and emerging technologies for preventing falls from heights at construction sites

M Khan, C Nnaji, MS Khan, A Ibrahim, D Lee… - Automation in …, 2023 - Elsevier
Falls at construction sites account for approximately 50% of all accidents reported in the US
annually, making them the leading cause of injuries and fatalities. Although there have been …

Tag and IoT based safety hook monitoring for prevention of falls from height

M Khan, R Khalid, S Anjum, N Khan, S Cho… - Automation in …, 2022 - Elsevier
Monitoring the unsafe behavior of construction workers at risky elevations is essential for
eliminating fall from height (FFH) accidents. This study aims to bridge the gap between …

Automated detection of construction work at heights and deployment of safety hooks using IMU with a barometer

H Choo, B Lee, H Kim, B Choi - Automation in Construction, 2023 - Elsevier
An automated system that identifies work at height and the fastening state of safety hooks
using wearable sensors was developed to prevent falls from height (FFH). This system …

Fall prevention from scaffolding using computer vision and IoT-based monitoring

M Khan, R Khalid, S Anjum, SVT Tran… - Journal of Construction …, 2022 - ascelibrary.org
Fall from height (FFH) is the most significant cause of occupational fatalities in the
construction industry, accounting for approximately 54% of all accidents. Such fatalities have …

On-body placement of wearable safety promotion devices based on wireless communication for construction workers-on-foot: state-of-the-art review

N Yadav, N Sadeghi, J Kang - Sensors, 2022 - mdpi.com
High auditory noise levels and limited visibility are often considered among the main factors
that hinder seamless communication on construction sites. Many previous research studies …

Real-time vibrotactile feedback system for reducing trunk flexion exposure during construction tasks

S Lim, X Yang - Applied Ergonomics, 2023 - Elsevier
Workplaces are increasingly evaluating the use of wearables for ergonomic assessment and
providing biofeedback as a real-time postural intervention to improve workers' posture …

Rotation error detection of gallium nitride (GaN) substrate in MBE utilizing ensemble learning

S Anjum, HY Lee, HK Noh - Crystal Growth & Design, 2023 - ACS Publications
A rotating substrate is essential for achieving high-quality and uniform growth of gallium
nitride (GaN) thin films in molecular beam epitaxy (MBE). By rotating the substrate during …

A motion similarity measurement method of two mobile devices for safety hook fastening state recognition

KS Song, S Kang, DG Lee, YH Nho, JS Seo… - IEEE …, 2022 - ieeexplore.ieee.org
Fall from height (FFH) is an accident that leads to fatalities in construction workers, and a
major cause of FFH is due to the improper fastening of a safety hook of a safety harness to a …

Fall and Normal Activity Classification via Multiple Wearable Sensors

R Khalid, S Anjum, C Park - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
A fall detection and classification system is crucial for reducing the severe consequences of
falls, which account for the leading cause of accidents on construction sites. Wearable …

Motion Similarity based Safety Hook Fastening State Recognition via Deep Siamese Neural Networks

KS Song, JG Lim, DG Lee, DS Kwon - IEEE Sensors Letters, 2023 - ieeexplore.ieee.org
This letter proposes a monitoring system to prevent falls from height accidents at
construction sites. In our previous work, a method was proposed for recognizing the …