{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T18:10:15Z","timestamp":1788891015943,"version":"build-2803163510"},"reference-count":26,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T00:00:00Z","timestamp":1788825600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100015624","name":"University of Jeddah","doi-asserted-by":"crossref","award":["UJ-22-DR-74"],"award-info":[{"award-number":["UJ-22-DR-74"]}],"id":[{"id":"10.13039\/501100015624","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>Safety has always been a concern. Thus, employing and utilizing technology is vital to help society address this concern. This paper looks at the design and implementation of a Smart Safety Protection System (SSPS), which employs the Internet of Things (IoT) to solve the issue of real-time monitoring, geolocation tracking, and emergency alert features. The proposed system is a wearable device that uses sensors and GPS to send continuous data to both an application on smartphones and a database on the cloud. The system\u2019s features include detecting unauthorized removal of the device as well as falls and abnormal temperature or heart rate. If anything happens as mentioned, the system will send alerts to the linked mobile application. A Deep Learning (DL) model is integrated into the SSPS system using multimodal WESAD sensor data. A trained Multi-Layer Perceptron (MLP) neural network achieved 93% accuracy when optimized with Adam and Softmax, enabling reliable identification of Monitored Individuals\u2019 emotional states. Steps of functional and integration testing of the prototype proved the reliability of sensor accuracy, data transmission speed, and real-time emergency response. Ultimately, this work emphasizes the potential of using DL and the IoT to improve Monitored Individuals\u2019 safety.<\/jats:p>","DOI":"10.1371\/journal.pone.0354273","type":"journal-article","created":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T17:50:17Z","timestamp":1788889817000},"page":"e0354273","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["The implementation of a smart safety protection system using DL and IoT technologies"],"prefix":"10.1371","volume":"21","author":[{"given":"Kaouther","family":"Omri","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanen","family":"Himdi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manal M.","family":"Khayyat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ala\u2019 A.","family":"Eshmawi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3770-432X","authenticated-orcid":true,"given":"Mashael M.","family":"Khayyat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,9,8]]},"reference":[{"key":"pone.0354273.ref001","article-title":"Child injuries in context.","volume-title":"World report on child injury prevention","author":"M Peden","year":"2008"},{"key":"pone.0354273.ref002","doi-asserted-by":"crossref","first-page":"100486","DOI":"10.1016\/j.ijcci.2022.100486","article-title":"Saudi parents\u2019 privacy concerns about their children\u2019s smart device applications","volume":"33","author":"E Alashwali","year":"2022","journal-title":"Int J Child-Comput Interact"},{"issue":"9","key":"pone.0354273.ref003","doi-asserted-by":"crossref","first-page":"1936","DOI":"10.3390\/s17091936","article-title":"A Biological Signal-Based Stress Monitoring Framework for Children Using Wearable Devices","volume":"17","author":"Y Choi","year":"2017","journal-title":"Sensors (Basel)"},{"issue":"8","key":"pone.0354273.ref004","first-page":"1791","article-title":"Smart IOT device for child safety and tracking","volume":"8","author":"MN Priyanka","year":"2019","journal-title":"Int J Innov Technol Explor Eng"},{"key":"pone.0354273.ref005","first-page":"101556","article-title":"IoT wearables in child health: A comprehensive scoping review and exploration of ubiquitous computing","volume":"31","author":"K Mistry","year":"2025","journal-title":"IoT"},{"key":"pone.0354273.ref006","doi-asserted-by":"crossref","first-page":"3","DOI":"10.4103\/ijpvm.ijpvm_191_23","article-title":"Using Internet of Things for Child Care: A Systematic Review","volume":"16","author":"S Saeedbakhsh","year":"2025","journal-title":"Int J Prev Med"},{"key":"pone.0354273.ref007","doi-asserted-by":"crossref","unstructured":"Heng LY, Kamsin IFB. 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