[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124297-en":3,"doc-seo-124297-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},124297,1374391974468,"Eden","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",6,"Technology","IoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning","A smart baby monitoring system based on IoT and machine learning addresses the difficulty working parents face when they cannot continuously monitor their babies. The system uses sensors to capture room temperature and humidity, cry detection, and face detection, then transfers sensor data to the Blynk server through internet-connected controllers. A machine learning model detects facial emotions for registered babies. Parents monitor live activities and emotions via an external web camera and control the baby cradle remotely through a mobile app. Real-time notifications are sent when abnormal actions occur.","IoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning  \nAlam, H. , Burhan, M. , Gillani, A. , Haq, I. U. , Arshed, M. A. , Shafi, M. , & Ahmad, S. (2023) . IoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning. Wireless Communications and Mobile Computing, 2025, 1-11 . Advance online publication. [https://doi.org/10.1155/2023/1](https://doi.org/10.1155/2023/1) 175450  \nLink to publication record in Ulster University Research Portal  \nPublished in:  \nWireless Communications and Mobile Computing  \nPublication Status:  \nPublished online: 11/04/2023  \nDOI:  \n10.1155/2023/1175450  \nDocument Version  \nPublisher's PDF, also known as Version of record  \nDocument Licence:  \nCC BY  \nGeneral rights  \nThe copyright and moral rights to the output are retained by the output author(s), unless otherwise stated by the document licence.  \nUnless otherwise stated, users are permitted to download a copy of the output for personal study or non-commercial research and are permitted to freely distribute the URL of the output. They are not permitted to alter, reproduce, distribute or make any commercial use of the output without obtaining the permission of the author(s) .  \nIf the document is licenced under Creative Commons, the rights of users of the documents can be found at [https://creativecommons.org/share-your-work/cclicenses/](https://creativecommons.org/share-your-work/cclicenses/) .  \nTake down policy  \nThe Research Portal is Ulster University's institutional repository that provides access to Ulster's research outputs. Every effort has been made to ensure that content in the Research Portal does not infringe any person's rights, or applicable UK laws. If you discover content in the Research Portal that you believe breaches copyright or violates any law, please contact [pure-support@ulster.ac.uk](pure-support@ulster.ac.uk)  \nDownload date: 01/07/2025  \nHindawi  \nWireless Communications and Mobile Computing Volume 2023, Article ID 1175450, 11 pages [https://doi.org/10.1155/2023/1175450](https://doi.org/10.1155/2023/1175450)  \nResearch Article  \nIoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning  \nHina Alam , 1 Muhammad Burhan ,2 Anusha Gillani,3 Ihtisham ul Haq, 1  \nMuhammad Asad Arshed , 1 Muhammad Shafi,4 and Saeed Ahmad 1  \n1School of Systems and Technology, University of Management and Technology, Lahore, Pakistan  \n2Department of Information Technology, University of the Punjab, Pakistan  \n3Office of Research, Innovation and Communication (ORIC), University of Management and Technology, Lahore, Pakistan 4Faculty of Computing and Information Technology, Sohar University, Sohar, Oman  \nCorrespondence should be addressed to Muhammad Burhan; [mbsh909@gmail.com](mbsh909@gmail.com)  \nReceived 23 September 2022; Revised 15 November 2022; Accepted 3 January 2023; Published 11 April 2023  \nAcademic Editor: Junaid Shuja  \nCopyright © 2023 Hina Alam et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.  \nChild care is necessary for parents, but nowadays taking care of a child has become a lot more challenging, especially for working mothers. It has become increasingly difficult for parents to continuously monitor their baby’s condition. Thus, a smart baby monitoring system based on IoT and machine learning is implemented to overcome the monitoring issues and provide intimation to parents in real-time. In the proposed system, the necessary monitoring features like room temperature and humidity, cry detection, and face detection were monitored by exploiting different sensors. The sensor data is transferred to the Blynk server via controllers with an Internet connection. The system is also capable of detecting the facial emotions of the registered babies by using a machine learning model. Pa","cbCaiiPWhcNF9efw","https://ap.wps.com/l/cbCaiiPWhcNF9efw","pdf",1702520,1,12,"English","en",105,"# Introduction\n## IoT-assisted childcare challenges","[{\"question\":\"What problem does the IoT-based smart baby monitoring system address?\",\"answer\":\"It reduces the difficulty working parents have in continuously monitoring their babies, especially when they cannot spend time observing their child due to other responsibilities.\"},{\"question\":\"How does the proposed system collect and transmit monitoring data?\",\"answer\":\"Sensors collect room temperature and humidity, cry detection, and face detection, and the data is sent to the Blynk server through internet-connected controllers.\"},{\"question\":\"How are parents informed and what can they do in response?\",\"answer\":\"Parents view live activities and facial emotions through an external web camera, swing the baby cradle remotely after cry detection using a mobile app, and receive notifications on the mobile app when 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