An IoT-Based Solution for Monitoring Young People with Emotional Behavioral Disorders in a Residential Childcare Setting

Bharat Paudyal, C. Creed, Sherelle Knowles, Hilton Mutariswa, Ian Williams
{"title":"An IoT-Based Solution for Monitoring Young People with Emotional Behavioral Disorders in a Residential Childcare Setting","authors":"Bharat Paudyal, C. Creed, Sherelle Knowles, Hilton Mutariswa, Ian Williams","doi":"10.1109/ISCC58397.2023.10218215","DOIUrl":null,"url":null,"abstract":"This paper focuses on the design, development and preliminary evaluation of cloud-based Internet of Things (IoT) system that utilises wearable sensors to remotely monitor the physiological patterns of young person with Emotional Behavioral Disorder (EBD). We report on an exploratory study with caregivers to understand the challenges exhibited by young people with EBD. This informed the design of cloud-based IoT system that retrieves real-time physiological parameters such as Heart Rate, Body Temperature through non-invasive wearable sensors, which enables caregivers to monitor the activity of young person remotely and provide enhanced support based on the collected parameters. To validate system's feasibility, an initial pilot study within a healthcare environment involving children with EBD was conducted. The study confirms the system's viability and identifies important areas for future improvements. By utilizing IoT technology, our work aims to enhance the healthcare sector's ability to support individuals with EBD and improve their overall well-being.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Symposium on Computers and Communications (ISCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCC58397.2023.10218215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper focuses on the design, development and preliminary evaluation of cloud-based Internet of Things (IoT) system that utilises wearable sensors to remotely monitor the physiological patterns of young person with Emotional Behavioral Disorder (EBD). We report on an exploratory study with caregivers to understand the challenges exhibited by young people with EBD. This informed the design of cloud-based IoT system that retrieves real-time physiological parameters such as Heart Rate, Body Temperature through non-invasive wearable sensors, which enables caregivers to monitor the activity of young person remotely and provide enhanced support based on the collected parameters. To validate system's feasibility, an initial pilot study within a healthcare environment involving children with EBD was conducted. The study confirms the system's viability and identifies important areas for future improvements. By utilizing IoT technology, our work aims to enhance the healthcare sector's ability to support individuals with EBD and improve their overall well-being.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于物联网的寄宿托儿环境中青少年情绪行为障碍监测解决方案
本文着重于基于云的物联网(IoT)系统的设计、开发和初步评估,该系统利用可穿戴传感器远程监测患有情绪行为障碍(EBD)的年轻人的生理模式。我们报告了一项探索性研究,与护理人员一起了解年轻EBD患者所面临的挑战。这为基于云的物联网系统的设计提供了灵感,该系统通过非侵入式可穿戴传感器检索心率、体温等实时生理参数,使护理人员能够远程监控年轻人的活动,并根据收集的参数提供增强的支持。为了验证系统的可行性,在一个涉及EBD儿童的医疗环境中进行了初步的试点研究。该研究证实了该系统的可行性,并确定了未来改进的重要领域。通过利用物联网技术,我们的工作旨在提高医疗保健部门支持EBD患者的能力,并改善他们的整体健康状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
(POSTER) Advanced LTCC-Integrated Technologies for mmWave 5G/Satellite Communication Antennas Multiple Information Extraction and Interaction for Emotion Recognition in Multi-Party Conversation A GRASP-Based Algorithm for Virtual Network Embedding Designing Healthcare Relational Agents: A Conceptual Framework with User-Centered Design Guidelines Analysis of One-Bit DAC for RIS-Assisted MU Massive MIMO Systems with Efficient Autoencoder Based Deep Learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1