Motion capture technology in industrial applications: A systematic review
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 …
industrial processes that require advanced sensing solutions for their realization. Motion …
ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors
SS Bangaru, C Wang, SA Busam… - Automation in …, 2021 - Elsevier
Construction worker activity recognition is essential for worker performance and safety
assessment. With the development of wearable sensing technologies, many researchers …
assessment. With the development of wearable sensing technologies, many researchers …
Worker 4.0: The future of sensored construction sites
The digitalization of the construction industry (CI) has the aim—among others—to raise the
bar of overall productivity. The craft workforce is very relevant on the overall value-chain …
bar of overall productivity. The craft workforce is very relevant on the overall value-chain …
Construction activity recognition with convolutional recurrent networks
T Slaton, C Hernandez, R Akhavian - Automation in Construction, 2020 - Elsevier
Although heavy equipment is an indispensable resource in many construction projects, it is
often underutilized. Inefficient usage patterns and frequent idling contribute to increased …
often underutilized. Inefficient usage patterns and frequent idling contribute to increased …
Activity classification using accelerometers and machine learning for complex construction worker activities
Automated Construction worker activity classification has the potential to not only benefit the
worker performance in terms of productivity and safety, but also the overall project …
worker performance in terms of productivity and safety, but also the overall project …
Effective inertial sensor quantity and locations on a body for deep learning-based worker's motion recognition
Construction tasks involve various activities composed of one or more body motions. As
construction projects are labor-intensive and heavily rely on manual tasks, understanding …
construction projects are labor-intensive and heavily rely on manual tasks, understanding …
A supervised learning-based construction workers' stress recognition using a wearable electroencephalography (EEG) device
Construction is known as one of the most stressful occupations due to its involvement with
physiologically and psychologically demanding tasks performed in a hazardous work …
physiologically and psychologically demanding tasks performed in a hazardous work …
Development and comparative of a new meta-ensemble machine learning model in predicting construction labor productivity
I Karatas, A Budak - Engineering, Construction and Architectural …, 2024 - emerald.com
Purpose The study is aimed to compare the prediction success of basic machine learning
and ensemble machine learning models and accordingly create novel prediction models by …
and ensemble machine learning models and accordingly create novel prediction models by …
Data quality and reliability assessment of wearable EMG and IMU sensor for construction activity recognition
The workforce shortage is one of the significant problems in the construction industry. To
overcome the challenges due to workforce shortage, various researchers have proposed …
overcome the challenges due to workforce shortage, various researchers have proposed …
[PDF][PDF] A review on productivity improvement in construction industry
VJ Shinde, MN Hedaoo - International Research Journal of …, 2017 - academia.edu
The productivity level of construction industry is mostly depending upon three factors they
are labour characteristics, management systems and external issues. Different researchers …
are labour characteristics, management systems and external issues. Different researchers …