3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review

K Mirzaei, M Arashpour, E Asadi, H Masoumi… - Advanced Engineering …, 2022 - Elsevier
Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …

A systematic review and comprehensive analysis of building occupancy prediction

T Li, X Liu, G Li, X Wang, J Ma, C Xu, Q Mao - Renewable and Sustainable …, 2024 - Elsevier
Buildings account for a significant portion of the global energy consumption. Forecasting
personnel occupancy is critical for reducing energy consumption in buildings. This study …

3D Human Action Recognition: Through the eyes of researchers

A Sarkar, A Banerjee, PK Singh, R Sarkar - Expert Systems with …, 2022 - Elsevier
Abstract Human Action Recognition (HAR) has remained one of the most challenging tasks
in computer vision. With the surge in data-driven methodologies, the depth modality has …

Image Processing‐Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine‐Learning Approaches

ND Hoang - Mathematical Problems in Engineering, 2020 - Wiley Online Library
Pitting corrosion can lead to critical failures of infrastructure elements. Therefore, accurate
detection of corroded areas is crucial during the phase of structural health monitoring. This …

A two-fold transformation model for human action recognition using decisive pose

DK Vishwakarma - Cognitive Systems Research, 2020 - Elsevier
Human action recognition in videos is a tough task due to the complex background,
geometrical transformation and an enormous volume of data. Hence, to address these …

Deep learning based human activity recognition using spatio-temporal image formation of skeleton joints

N Tasnim, MK Islam, JH Baek - Applied Sciences, 2021 - mdpi.com
Human activity recognition has become a significant research trend in the fields of computer
vision, image processing, and human–machine or human–object interaction due to cost …

Comparison of RGB-D and IMU-based gesture recognition for human-robot interaction in remanufacturing

L Roda-Sanchez, C Garrido-Hidalgo, AS García… - … International Journal of …, 2023 - Springer
With product life-cycles getting shorter and limited availability of natural resources, the
paradigm shift towards the circular economy is being impulsed. In this domain, the …

Human activity recognition in an end-of-life consumer electronics disassembly task

Y Chen, HY Liao, S Behdad, B Hu - Applied Ergonomics, 2023 - Elsevier
The production of electronic waste, also known as e-waste, has risen with the growing
reliance on electronic products. To reduce negative environmental impact and achieve …

Multi-fusion sensors for action recognition based on discriminative motion cues and random forest

S Hafeez, A Jalal, S Kamal - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Through proper monitoring and recognition of actions of the human body many applications
are possible in the areas of robotics, surveillance or personal health monitoring. Wearable …

Human-robot interaction in Industry 4.0 based on an Internet of Things real-time gesture control system

L Roda-Sanchez, T Olivares… - Integrated …, 2021 - content.iospress.com
In the context of fast-growing digitization of industrial environments, Industry 4.0 aims to
improve key elements to achieve more efficient processes, flexibility in customizing products …