Model Development for Child Developmental Milestone Assessment

M. Mudannayake, Gayara Kumari, Sandun Abeygunawardana, Nethmi Amaranayake, Pradeepa Samarasinghe, Sanka Mohottala, S. Wijethunga
{"title":"Model Development for Child Developmental Milestone Assessment","authors":"M. Mudannayake, Gayara Kumari, Sandun Abeygunawardana, Nethmi Amaranayake, Pradeepa Samarasinghe, Sanka Mohottala, S. Wijethunga","doi":"10.1109/ICAC57685.2022.10025170","DOIUrl":null,"url":null,"abstract":"This paper presents the implementation of models for assessing the developmental milestone of children below age five on physical, cognitive, social, and emotional factors, which is a crucial aspect of human development. To the best of our knowledge, we are the first to design and evaluate models assessing the developmental delays of Sri Lankan children. The primary goal of this study is to analyze the ability of children to reach the relevant milestones in their childhood using video recordings and parents’ feedback. Out of the different models we experimented with, we selected the best models in our final evaluation. As the principal contribution, we developed a model to decide whether the child has typical developmental growth or otherwise using parents’ feedback and obtained 92.31% accuracy. Furthermore, we achieved 92.76% for the social and emotion detection model and 88.44% accuracy for the child action recognition model using video-based datasets. In the future implementation, the derived models will be integrated to build a mobile application.","PeriodicalId":292397,"journal":{"name":"2022 4th International Conference on Advancements in Computing (ICAC)","volume":"31 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Advancements in Computing (ICAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAC57685.2022.10025170","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 presents the implementation of models for assessing the developmental milestone of children below age five on physical, cognitive, social, and emotional factors, which is a crucial aspect of human development. To the best of our knowledge, we are the first to design and evaluate models assessing the developmental delays of Sri Lankan children. The primary goal of this study is to analyze the ability of children to reach the relevant milestones in their childhood using video recordings and parents’ feedback. Out of the different models we experimented with, we selected the best models in our final evaluation. As the principal contribution, we developed a model to decide whether the child has typical developmental growth or otherwise using parents’ feedback and obtained 92.31% accuracy. Furthermore, we achieved 92.76% for the social and emotion detection model and 88.44% accuracy for the child action recognition model using video-based datasets. In the future implementation, the derived models will be integrated to build a mobile application.
儿童发展里程碑评估的模型开发
本文介绍了评估五岁以下儿童在身体、认知、社会和情感因素方面的发展里程碑的模型的实施,这些因素是人类发展的一个关键方面。据我们所知,我们是第一个设计和评估评估斯里兰卡儿童发育迟缓模型的机构。本研究的主要目的是通过录像和父母的反馈来分析儿童在童年时期达到相关里程碑的能力。在我们试验的不同模型中,我们在最后的评估中选择了最好的模型。作为主要贡献,我们利用父母的反馈建立了一个模型来判断孩子是否具有典型的发展性生长,准确率为92.31%。此外,使用基于视频的数据集,我们的社交和情感检测模型的准确率达到92.76%,儿童动作识别模型的准确率达到88.44%。在未来的实现中,将集成派生模型来构建移动应用程序。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信