Reza Akhavian - Google Scholar
168. 2016. Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers. R Akhavian, AH Behzadan. Advanced Engineering Informatics., 2015. 146. 2015. Ergonomic analysis of construction worker's body …
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An Automated Recognition of Work Activity in Industrial
Nov 26, 2021 · The automated assessment and analysis of employee activity in a manufacturing enterprise, operating in accordance with the concept of Industry 4.0, is essential for a quick and precise diagnosis of work quality, especially in the process of training a new employee. In the case of industrial solutions, many approaches involving the recognition and detection of work activity are based on
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Automated Methods for Activity Recognition of Construction
Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review. Behnam Sherafat, Changbum R. Ahn, Reza Akhavian, Amir H. Behzadan, Mani Golparvar-Fard, Hyunsoo Kim, Yong Cheol Lee, Abbas Rashidi, Ehsan Rezazadeh Azar.
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AUTOMATING EQUIPMENT PRODUCTIVITY MEASUREMENT …
monitoring construction equipment activity, there is still a dearth of studies attempting to automate equipment productivity measurement. A recent attempt in this area by Chen et al. (2020) developed a vision-based method for measuring excavator productivity. However, this method revealed computationally complex and had some
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Videos - Digital and Robotic Construction
Activity Recognition and Productivity Analysis. Recogntion of excavator activities (digging, swinging & loading) and automatic analysis of its productivity . Mobile Equipment Motion Tracking. Tracking and recording of mobile construction equipment motions on a construction site.
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Automated excavators activity recognition and …
A novel framework is proposed for analyzing the productivity of multiple excavators. Three CNNs are designed to detect, track and recognize the activities of excavators. An automatic method is proposed to calculate the productivity of excavators. The feasibility of …
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Hybrid kinematic–visual sensing approach for activity
Activity recognition of construction equipment is vital for operational productivity and safety analysis. For automated equipment monitoring, many res…
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PhD Oral Exam - Chen Chen, Building Engineering
Apr 29, 2021 · Then, a roadmap is proposed to suggest future research directions for automatic equipment productivity monitoring. Accordingly, a framework that integrates three Convolutional Neural Networks (CNNs) is proposed for automatic detection, tracking, activity recognition and productivity analysis of excavators.
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Vision-based Excavator Activity Analysis and Safety
Oct 06, 2021 · The productivity of the excavator is based on the activity recognition results. In the solid waste recycle scene, excavators usually work with other equipment, such as loaders. For example, an excavator digs the waste and dumps it into a dumping area. When waste is empty in the digging area, the loader will load and dump waste in the digging area.
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Automated Methods for Activity Recognition of Construction
and equipment activities would be the first step toward tasks such as productivity measurement and analysis, safety, and quality con-trol (Cheng et al. 2018 ;Joshua and Varghese 2010a Wang et al. 2017) of construction operations. Overview of Automated Activity Recognition Methods In the last 2 decades, advancements in emerging technologies have
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Automation in Construction
Aug 19, 2019 · develop reliable automated activity recognition systems for tracking and monitoring equipment performance and for measuring the productivity and the efficiency of the work performed. 1. Introduction The architecture, engineering, and construction (AEC) industry is increasingly investing in disruptive technologies. Technological ad-
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Integrated Mobile Sensor-Based Activity Recognition of
Automated activity recognition of heavy construction equipment as well as human crews can contribute to correct and accurate measurement of a variety of construction and infrastructure project performance indicators. Productivity assessment through work sampling, safety and
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Videos - Digital and Robotic Construction
Activity Recognition and Productivity Analysis. Recogntion of excavator activities (digging, swinging & loading) and automatic analysis of its productivity . Mobile Equipment Motion Tracking. Tracking and recording of mobile construction equipment motions on a construction site.
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An Automated Recognition of Work Activity in Industrial
Nov 26, 2021 · The automated assessment and analysis of employee activity in a manufacturing enterprise, operating in accordance with the concept of Industry 4.0, is essential for a quick and precise diagnosis of work quality, especially in the process of training a new employee. In the case of industrial solutions, many approaches involving the recognition and detection of work activity are based on
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Automated recognition of construction workers' activities
Therefore, an automated method can expedite the process of data collection and provide accurate analyses of activity recognition and productivity measurements. In this paper, a novel methodology is introduced to automatically recognize workers' activities for evaluating productivity measurement based on foot plantar pressure distribution data
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Audio Signal Processing for Activity Recognition of
equipment recognition, equipment tracking, action recognition, and estimation of activity performance indicators. Figure 1. Overall flowchart for computer vision-based performance monitoring of construction equipment. Equipment recognition, as a subset of object recognition, is …
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A vision-based excavator productivity analysis in Vietnam
Therefore, this paper proposes a vision-based analysis in calculating excavator productivity using image processing applications and coding language to automatically determine the excavator productivity and bring results on the basis of analysing big data collected from validated construction sites.
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Construction Activity Recognition for Simulation Input
studies that used accelerometer data in activity recognition for emission control and productivity assessment. Ahn et al. (2013) examined the feasibility of measuring operational efficiency of construction equipment using accelerometer data to classify three modes of an excavator operation: engine-off, idling, and working.
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Hybrid kinematic–visual sensing approach for activity
Activity recognition of construction equipment is vital for operational productivity and safety analysis. For automated equipment monitoring, many res…
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Automation in Construction
Aug 19, 2019 · develop reliable automated activity recognition systems for tracking and monitoring equipment performance and for measuring the productivity and the efficiency of the work performed. 1.
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