3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review
Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …
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 …
personnel occupancy is critical for reducing energy consumption in buildings. This study …
3D Human Action Recognition: Through the eyes of researchers
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
improve key elements to achieve more efficient processes, flexibility in customizing products …