Human Operator Mental Fatigue Assessment Based on Video: ML-Driven Approach and Its Application to HFAVD Dataset DOI Creative Commons
Walaa Othman, Batol Hamoud, Nikolay Shilov

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(22), P. 10510 - 10510

Published: Nov. 14, 2024

The detection of the human mental fatigue state holds immense significance due to its direct impact on work efficiency, specifically in system operation control. Numerous approaches have been proposed address challenge detection, aiming identify signs and alert individual. This paper introduces an approach assessment based application machine learning techniques video a working operator. For validation purposes, was applied dataset, “Human Fatigue Assessment Based Video Data” (HFAVD) integrating data with features computed by using our computer vision deep models. incorporated encompass head movements represented Euler angles (roll, pitch, yaw), vital (blood pressure, heart rate, oxygen saturation, respiratory rate), eye mouth states (blinking yawning). integration these eliminates need for manual calculation or parameters, it obviates requirement sensors external devices, which are commonly employed existing datasets. main objective is advance research particularly academic settings. this reason, we conducted series experiments utilizing analyze dataset assess predicted results reveal that random forest technique consistently achieved highest accuracy F1-score across all experiments, predominantly exceeding 90%. These findings suggest highly promising task prove strong connection association among used annotate videos fatigue.

Language: Английский

Green buildings: requirements, features, life cycle, and relevant intelligent technologies DOI Creative Commons
Siyi Yin, Jinsong Wu, Junhui Zhao

et al.

Internet of Things and Cyber-Physical Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

2
Three-Dimensional Point Cloud Stitching Method in Infrared Images of High-Voltage Cables DOI Open Access
Yu Guang, Yan Huang,

Yujia Cheng

et al.

Coatings, Journal Year: 2024, Volume and Issue: 14(9), P. 1079 - 1079

Published: Aug. 23, 2024

High-voltage power cables are crucial to the normal operation of all electrical equipment. The insulation surrounding these is subject faults. traditional methods for detecting cable characteristics primarily focus on breakdown performance tests. However, measurement precision low, risk coefficient high, and test cost high. Additionally, it difficult precisely pinpoint high-voltage Therefore, in this study, a method inspecting faults using infrared stereoscopic vision proposed. This enables non-contact remote safety measurements be conducted. For limited lens angle an camera, area matching stitching that incorporates feature point developed. key technologies three-dimensional (3D) cloud include extraction image matching. To address problem Harris algorithm not having scale invariance, Gaussian multi-scale transform parameters were added algorithm. During process, random sampling consistency used eliminate incorrect pairs points. Subsequently, 3D experiment images was feasibility verified through qualitative quantitative analyses experimental results. Based mechanism by which thermal breakdowns occur, anomalous temperatures developed based vision. In manuscript, technique, stitching, inspection combined first time. detection contributes development equipment nondestructive testing.

Language: Английский

Citations

1
Role of the Regulation Framework in Occupational Safety in Construction Excavation Works—A Survey Analysis in Turkey DOI Creative Commons
Nurdan Baykuş, Aaron Anil Chadee, Nurgül Yalçın

et al.

Safety, Journal Year: 2024, Volume and Issue: 10(4), P. 87 - 87

Published: Oct. 9, 2024

The construction sector is known to have the highest risks of occupational accidents. A rationale for this high occurrence can be related legislative requirements enforce safe practices within sector. Within context excavation works in Turkey, study investigates leading any compliance shortfalls and ultimately presents recommendations mitigate accidents’ occurrences during Based on a quantitative methodology, closed-ended survey consisting 35 questions based was applied project managers industry, such as site supervisors, safety experts, auditors, control personnel. sample size 277 responses found stability validity through reliability analysis an exploratory factor analysis, used testing statistical significance via cross-tabulation chi-square tests. findings revealed that major deviation from executing adverse weather conditions. Moreover, it also noteworthy protective curtains did not surround sites, most employees encountered ground slippage work. Therefore, preliminary research will contribute positively providing incentives focus development relevant security technical measures. It provided information protect welfare workers involved works. Finally, though these may considered context-specific, comparative purposes similar studies into different countries, where generalized later derived inform academia practice.

Language: Английский

Citations

0
A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response DOI Creative Commons

Javier Sáez-García,

María Consuelo Sáiz Manzanares, Raúl Marticorena Sánchez

et al.

Computers, Journal Year: 2024, Volume and Issue: 13(11), P. 289 - 289

Published: Nov. 8, 2024

The use of eye tracking technology, together with other physiological measurements such as psychogalvanic skin response (GSR) and electroencephalographic (EEG) recordings, provides researchers information about users’ behavioural responses during their learning process in different types tasks. These devices produce a large volume data. However, order to analyse these records, have them using complex statistical and/or machine techniques (supervised or unsupervised) that are usually not incorporated into the devices. objectives this study were (1) propose procedure for processing extracted data; (2) address potential technical challenges difficulties logs integrated multichannel technology; (3) offer solutions automating data analysis. A Notebook Jupyter is proposed steps importing data, well supervised unsupervised algorithms.

Language: Английский

Citations

0
Human Operator Mental Fatigue Assessment Based on Video: ML-Driven Approach and Its Application to HFAVD Dataset DOI Creative Commons
Walaa Othman, Batol Hamoud, Nikolay Shilov

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(22), P. 10510 - 10510

Published: Nov. 14, 2024

The detection of the human mental fatigue state holds immense significance due to its direct impact on work efficiency, specifically in system operation control. Numerous approaches have been proposed address challenge detection, aiming identify signs and alert individual. This paper introduces an approach assessment based application machine learning techniques video a working operator. For validation purposes, was applied dataset, “Human Fatigue Assessment Based Video Data” (HFAVD) integrating data with features computed by using our computer vision deep models. incorporated encompass head movements represented Euler angles (roll, pitch, yaw), vital (blood pressure, heart rate, oxygen saturation, respiratory rate), eye mouth states (blinking yawning). integration these eliminates need for manual calculation or parameters, it obviates requirement sensors external devices, which are commonly employed existing datasets. main objective is advance research particularly academic settings. this reason, we conducted series experiments utilizing analyze dataset assess predicted results reveal that random forest technique consistently achieved highest accuracy F1-score across all experiments, predominantly exceeding 90%. These findings suggest highly promising task prove strong connection association among used annotate videos fatigue.

Language: Английский

Citations

0