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 …

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 …

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 …

[PDF][PDF] Problems of monitoring critical elements of scaffolding

A Ramezantitkanloo, D Czepiżak… - Archives of Civil …, 2024 - journals.pan.pl
Scaffolds are temporary structures that include anchors, elements, and platforms that are
used during the construction of steel or concrete structures to support equipment or workers …

[PDF][PDF] Meaningful Feedback from Wearable Sensor Data to Train Psychomotor Skills.

G Romano - MILeS@ EC-TEL, 2022 - ceur-ws.org
Learning psychomotor skills requires feedback for improvement and give insight on
performance. However, providing feedback is not trivial. Every learner is different and the …

[引用][C] Motion similarity based safety hook fastening state recognition via Siamese neural networks

KS Song, JG Lim, DG Lee, DS Kwon - sensors (Beacons, RFIDs, Load cells, and …