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BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces
Wearable technologies are becoming a profitable means of monitoring a person’s health state, such as heart rate and physical activity. The use of the smartwatch is becoming consolidated, not only as a novelty but also as a very useful tool for daily use. In addition, other devices, such as helmets o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151709/ https://www.ncbi.nlm.nih.gov/pubmed/34066186 http://dx.doi.org/10.3390/s21103372 |
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author | Márquez-Sánchez, Sergio Campero-Jurado, Israel Robles-Camarillo, Daniel Rodríguez, Sara Corchado-Rodríguez, Juan M. |
author_facet | Márquez-Sánchez, Sergio Campero-Jurado, Israel Robles-Camarillo, Daniel Rodríguez, Sara Corchado-Rodríguez, Juan M. |
author_sort | Márquez-Sánchez, Sergio |
collection | PubMed |
description | Wearable technologies are becoming a profitable means of monitoring a person’s health state, such as heart rate and physical activity. The use of the smartwatch is becoming consolidated, not only as a novelty but also as a very useful tool for daily use. In addition, other devices, such as helmets or belts, are beneficial for monitoring workers and the early detection of any anomaly. They can provide valuable information, especially in work environments, where they help reduce the rate of accidents and occupational diseases, which makes them powerful Personal Protective Equipment (PPE). The constant monitoring of the worker’s health can be done in real-time, through temperature, falls, noise, impacts, or heart rate meters, activating an audible and vibrating alarm when an anomaly is detected. The gathered information is transmitted to a server in charge of collecting and processing it. In the first place, this paper provides an exhaustive review of the state of the art on works related to electronics for human activity behavior. After that, a smart multisensory bracelet, combined with other devices, developed a control platform that can improve operators’ security in the working environment. Artificial Intelligence and the Internet of Things (AIoT) bring together the information to improve safety on construction sites, power stations, power lines, etc. Real-time and historic data is used to monitor operators’ health and a hybrid system between Gaussian Mixture Model and Human Activity Classification. That is, our contribution is also founded on the use of two machine learning models, one based on unsupervised learning and the other one supervised. Where the GMM gave us a performance of 80%, 85%, 70%, and 80% for the 4 classes classified in real time, the LSTM obtained a result under the confusion matrix of 0.769, 0.892, and 0.921 for the carrying-displacing, falls, and walking-standing activities, respectively. This information was sent in real time through the platform that has been used to analyze and process the data in an alarm system. |
format | Online Article Text |
id | pubmed-8151709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81517092021-05-27 BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces Márquez-Sánchez, Sergio Campero-Jurado, Israel Robles-Camarillo, Daniel Rodríguez, Sara Corchado-Rodríguez, Juan M. Sensors (Basel) Article Wearable technologies are becoming a profitable means of monitoring a person’s health state, such as heart rate and physical activity. The use of the smartwatch is becoming consolidated, not only as a novelty but also as a very useful tool for daily use. In addition, other devices, such as helmets or belts, are beneficial for monitoring workers and the early detection of any anomaly. They can provide valuable information, especially in work environments, where they help reduce the rate of accidents and occupational diseases, which makes them powerful Personal Protective Equipment (PPE). The constant monitoring of the worker’s health can be done in real-time, through temperature, falls, noise, impacts, or heart rate meters, activating an audible and vibrating alarm when an anomaly is detected. The gathered information is transmitted to a server in charge of collecting and processing it. In the first place, this paper provides an exhaustive review of the state of the art on works related to electronics for human activity behavior. After that, a smart multisensory bracelet, combined with other devices, developed a control platform that can improve operators’ security in the working environment. Artificial Intelligence and the Internet of Things (AIoT) bring together the information to improve safety on construction sites, power stations, power lines, etc. Real-time and historic data is used to monitor operators’ health and a hybrid system between Gaussian Mixture Model and Human Activity Classification. That is, our contribution is also founded on the use of two machine learning models, one based on unsupervised learning and the other one supervised. Where the GMM gave us a performance of 80%, 85%, 70%, and 80% for the 4 classes classified in real time, the LSTM obtained a result under the confusion matrix of 0.769, 0.892, and 0.921 for the carrying-displacing, falls, and walking-standing activities, respectively. This information was sent in real time through the platform that has been used to analyze and process the data in an alarm system. MDPI 2021-05-12 /pmc/articles/PMC8151709/ /pubmed/34066186 http://dx.doi.org/10.3390/s21103372 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Márquez-Sánchez, Sergio Campero-Jurado, Israel Robles-Camarillo, Daniel Rodríguez, Sara Corchado-Rodríguez, Juan M. BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces |
title | BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces |
title_full | BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces |
title_fullStr | BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces |
title_full_unstemmed | BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces |
title_short | BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces |
title_sort | besafe b2.0 smart multisensory platform for safety in workplaces |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151709/ https://www.ncbi.nlm.nih.gov/pubmed/34066186 http://dx.doi.org/10.3390/s21103372 |
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