ArticleSensors (Basel, Switzerland)2020
Smart Helmet 5.0 for Industrial Internet of Things Using Artificial Intelligence.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evolution and Applications of Recent Sensing Technology for Occupational Risk Assessment: A Rapid Review of the Literature.Sensors (Basel, Switzerland) · 2022Pooled it
- Features and Practicability of the Next-Generation Sensors and Monitors for Exposure Assessment to Airborne Pollutants: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Wearable sensors for respiratory protection in occupational settings.Journal of safety research · 2026Review
- Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies.Sensors (Basel, Switzerland) · 2025Review
- The Collapse of Brain Clearance: Glymphatic-Venous Failure, Aquaporin-4 Breakdown, and AI-Empowered Precision Neurotherapeutics in Intracranial Hypertension.International journal of molecular sciences · 2025Review
- The analysis of educational informatization management learning model under the internet of things and artificial intelligence.Scientific reports · 2024Article
- Robust Intelligent Monitoring and Measurement System toward Downhole Dynamic Liquid Level.Sensors (Basel, Switzerland) · 2024Article
- Artificial Intelligence and Occupational Health and Safety, Benefits and Drawbacks.La Medicina del lavoro · 2024Article
- Emerging Technologies in Edge Computing and Networking.Sensors (Basel, Switzerland) · 2024Article
- The application of metaverse in occupational health.Frontiers in public health · 2024Review
- Design and Implementation of ESP32-Based IoT Devices.Sensors (Basel, Switzerland) · 2023Article
- Ethical Dilemmas and Privacy Issues in Emerging Technologies: A Review.Sensors (Basel, Switzerland) · 2023Review
- Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of Literature.Diagnostics (Basel, Switzerland) · 2022Review
- Developing Smartness in Emerging Environments and Applications with a Focus on the Internet of Things.Sensors (Basel, Switzerland) · 2022Article
- Trends in Smart Helmets With Multimodal Sensing for Health and Safety: Scoping Review.JMIR mHealth and uHealth · 2022Article
- Workshop Safety Helmet Wearing Detection Model Based on SCM-YOLO.Sensors (Basel, Switzerland) · 2022Article
- On-Body Placement of Wearable Safety Promotion Devices Based on Wireless Communication for Construction Workers-on-Foot: State-of-the-Art Review.Sensors (Basel, Switzerland) · 2022Review
- Intelligent Platform Based on Smart PPE for Safety in Workplaces.Sensors (Basel, Switzerland) · 2021Article
- BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Information and communication technologies (ICTs) have contributed to advances in Occupational Health and Safety, improving the security of workers. The use of Personal Protective Equipment (PPE) based on ICTs reduces the risk of accidents in the workplace, thanks to the capacity of the equipment to make decisions on the basis of environmental factors. Paradigms such as the Industrial Internet of Things (IIoT) and Artificial Intelligence (AI) make it possible to generate PPE models feasibly and create devices with more advanced characteristics such as monitoring, sensing the environment and risk detection between others. The working environment is monitored continuously by these models and they notify the employees and their supervisors of any anomalies and threats. This paper presents a smart helmet prototype that monitors the conditions in the workers' environment and performs a near real-time evaluation of risks. The data collected by sensors is sent to an AI-driven platform for analysis. The training dataset consisted of 11,755 samples and 12 different scenarios. As part of this research, a comparative study of the state-of-the-art models of supervised learning is carried out. Moreover, the use of a Deep Convolutional Neural Network (ConvNet/CNN) is proposed for the detection of possible occupational risks. The data are processed to make them suitable for the CNN and the results are compared against a Static Neural Network (NN), Naive Bayes Classifier (NB) and Support Vector Machine (SVM), where the CNN had an accuracy of 92.05% in cross-validation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.