Computer vision technologies for safety science and management in construction: A critical review and future research directions

BHW Guo, Y Zou, Y Fang, YM Goh, PXW Zou - Safety science, 2021 - Elsevier
Recent years have seen growing interests in developing and applying computer vision
technologies to solve safety problems in the construction industry. Despite the technological …

Deep time-series clustering: A review

A Alqahtani, M Ali, X Xie, MW Jones - Electronics, 2021 - mdpi.com
We present a comprehensive, detailed review of time-series data analysis, with emphasis on
deep time-series clustering (DTSC), and a case study in the context of movement behavior …

Vision-based human activity recognition: a survey

DR Beddiar, B Nini, M Sabokrou, A Hadid - Multimedia Tools and …, 2020 - Springer
Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

A review of state-of-the-art techniques for abnormal human activity recognition

C Dhiman, DK Vishwakarma - Engineering Applications of Artificial …, 2019 - Elsevier
The concept of intelligent visual identification of abnormal human activity has raised the
standards of surveillance systems, situation cognizance, homeland safety and smart …

The kimore dataset: Kinematic assessment of movement and clinical scores for remote monitoring of physical rehabilitation

M Capecci, MG Ceravolo, F Ferracuti… - … on Neural Systems …, 2019 - ieeexplore.ieee.org
This paper proposes a free dataset, available at the following link, 1 named KIMORE,
regarding different rehabilitation exercises collected by a RGB-D sensor. Three data inputs …

Video benchmarks of human action datasets: a review

T Singh, DK Vishwakarma - Artificial Intelligence Review, 2019 - Springer
Vision-based Human activity recognition is becoming a trendy area of research due to its
wide application such as security and surveillance, human–computer interactions, patients …

A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects

G Bhola, DK Vishwakarma - Multimedia Tools and Applications, 2024 - Springer
With the advent of technology, we are getting more comfortable with the use of gadgets,
cameras, etc., and find Artificial Intelligence as an integral part of most of the tasks we …

Didn't see that coming: a survey on non-verbal social human behavior forecasting

G Barquero, J Núnez, S Escalera, Z Xu… - … Social Behavior in …, 2022 - proceedings.mlr.press
Non-verbal social human behavior forecasting has increasingly attracted the interest of the
research community in recent years. Its direct applications to human-robot interaction and …

Human movement datasets: An interdisciplinary scoping review

T Olugbade, M Bieńkiewicz, G Barbareschi… - ACM Computing …, 2022 - dl.acm.org
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Human activity recognition for production and logistics—a systematic literature review

C Reining, F Niemann, F Moya Rueda, GA Fink… - Information, 2019 - mdpi.com
This contribution provides a systematic literature review of Human Activity Recognition for
Production and Logistics. An initial list of 1243 publications that complies with predefined …