Automated methods for activity recognition of construction workers and equipment: State-of-the-art review
Equipment and workers are two important resources in the construction industry.
Performance monitoring of these resources would help project managers improve the …
Performance monitoring of these resources would help project managers improve the …
Smart infrastructure: a vision for the role of the civil engineering profession in smart cities
Smart city programs provide a range of technologies that can be applied to solve
infrastructure problems associated with ageing infrastructure and increasing demands. The …
infrastructure problems associated with ageing infrastructure and increasing demands. The …
[HTML][HTML] Activity recognition of construction equipment using fractional random forest
AK Langroodi, F Vahdatikhaki, A Doree - Automation in construction, 2021 - Elsevier
The monitoring and tracking of construction equipment, eg, excavators, is of great interest to
improve the productivity, safety, and sustainability of construction projects. In recent years …
improve the productivity, safety, and sustainability of construction projects. In recent years …
Feasibility study to identify brain activity and eye-tracking features for assessing hazard recognition using consumer-grade wearables in an immersive virtual …
Hazard recognition is vital to achieving effective safety management. Unmanaged or
unrecognized hazards on construction sites can lead to unexpected accidents. Recent …
unrecognized hazards on construction sites can lead to unexpected accidents. Recent …
Sound-based multiple-equipment activity recognition using convolutional neural networks
Automatically recognizing activities of heavy construction equipment using sound data has
recently received considerable attention as a promising research area in construction …
recently received considerable attention as a promising research area in construction …
Evidence-driven sound detection for prenotification and identification of construction safety hazards and accidents
As the construction industry experiences a high rate of casualties and significant economic
loss associated with accidents, safety has always been a primary concern. In response …
loss associated with accidents, safety has always been a primary concern. In response …
MS-DLD: Multi-sensors based daily locomotion detection via kinematic-static energy and body-specific HMMs
More adaptable and user-independent techniques are required for multi-sensors based
daily locomotion detection (MS-DLD). This research study proposes a couple of locomotion …
daily locomotion detection (MS-DLD). This research study proposes a couple of locomotion …
Deep recurrent neural networks for audio classification in construction sites
In this paper, we propose a Deep Recurrent Neural Network (DRNN) approach based on
Long-Short Term Memory (LSTM) units for the classification of audio signals recorded in …
Long-Short Term Memory (LSTM) units for the classification of audio signals recorded in …
Deep Belief Network based audio classification for construction sites monitoring
M Scarpiniti, F Colasante, S Di Tanna, M Ciancia… - Expert Systems with …, 2021 - Elsevier
In this paper, we propose a Deep Belief Network (DBN) based approach for the
classification of audio signals to improve work activity identification and remote surveillance …
classification of audio signals to improve work activity identification and remote surveillance …
Synthesizing pose sequences from 3D assets for vision-based activity analysis
W Torres Calderon, D Roberts… - Journal of Computing in …, 2021 - ascelibrary.org
In recent years, computer vision algorithms have shown to effectively leverage visual data
from jobsites for video-based activity analysis of construction equipment. However …
from jobsites for video-based activity analysis of construction equipment. However …