[HTML][HTML] From brain to movement: Wearables-based motion intention prediction across the human nervous system

C Tang, Z Xu, E Occhipinti, W Yi, M Xu, S Kumar… - Nano Energy, 2023 - Elsevier
Fueled by the recent proliferation of energy-efficient and energy-autonomous or self-
powered nanotechnology-based wearable smart systems, human motion intention …

Advancing construction site workforce safety monitoring through BIM and computer vision integration

AS Kulinan, M Park, PPW Aung, G Cha… - Automation in Construction, 2024 - Elsevier
Ensuring a safe work environment is crucial for construction projects. It is essential that
workforce monitoring is both efficient and non-intrusive to the ongoing construction activities …

Transformer-based deep learning model and video dataset for unsafe action identification in construction projects

M Yang, C Wu, Y Guo, R Jiang, F Zhou, J Zhang… - Automation in …, 2023 - Elsevier
A large proportion of construction accidents are caused by unintentional and unsafe actions
and behaviors. It is of significant difficulties and ineffectiveness to monitor unsafe behaviors …

[HTML][HTML] Computer Vision for Safety Management in the Steel Industry

R Lan, I Awolusi, J Cai - AI, 2024 - mdpi.com
The complex nature of the steel manufacturing environment, characterized by different types
of hazards from materials and large machinery, makes the need for objective and automated …

Wearable heart rate sensing and critical power-based whole-body fatigue monitoring in the field

G Lee, JH Bae, JV Jacobs, SH Lee - Applied Ergonomics, 2024 - Elsevier
Whole-body fatigue (WBF) presents a concerning risk to construction workers, which can
impact function and ultimately lead to accidents and diminished productivity. This study …

Multifunctional Human–Computer Interaction System Based on Deep Learning-Assisted Strain Sensing Array

H Gu, K Jiang, F Yu, L Wang, X Yang, X Li… - … Applied Materials & …, 2024 - ACS Publications
Continuous and reliable monitoring of gait is crucial for health monitoring, such as
postoperative recovery of bone joint surgery and early diagnosis of disease. However …

Occlusion-aware and jitter-rejection 3D video real-time pose estimation for construction workers

B Song, J Wang, X Wang, T Zeng, D Li - Automation in Construction, 2025 - Elsevier
Video pose estimation is widely employed to monitor the activities of workers at construction
sites. However, previous studies have often overlooked the challenges posed by complex …

Hybrid visual information analysis for on-site occupational hazards identification: a case study on stairway safety

S Chen, F Dong, K Demachi - Safety science, 2023 - Elsevier
Slip, trip and fall (STF) are the leading type of fatalities in the construction industry and most
occupational STF accidents on stairs occur when construction workers unconsciously violate …

Evaluating the Impact of Hazard Information on Fieldworkers' Safety Risk Perception

A Ibrahim, C Nnaji, M Namian… - Journal of Construction …, 2024 - ascelibrary.org
Construction is a hazardous industry due to the dynamic nature of the work environment.
However, limited studies have investigated how the introduction of additional hazards affects …

Feasibility analysis of using Channel State Information (CSI) acquired from Wi-Fi routers for construction worker fall detection

R Guo, H Li, D Han, R Liu - … journal of environmental research and public …, 2023 - mdpi.com
Accidental falls represent a major cause of fatal injuries for construction workers. Failure to
seek medical attention after a fall can significantly increase the risk of death for construction …