ARChem:增强现实化学实验室

M.R.L.Y Menikrama, C.S Liyanagunawardhana, H.G.D.M.I Amarasekara, M.S Ramasinghe, L. Weerasinghe, I. Weerasinghe
{"title":"ARChem:增强现实化学实验室","authors":"M.R.L.Y Menikrama, C.S Liyanagunawardhana, H.G.D.M.I Amarasekara, M.S Ramasinghe, L. Weerasinghe, I. Weerasinghe","doi":"10.1109/iemcon53756.2021.9623121","DOIUrl":null,"url":null,"abstract":"One of the technologies that has been gaining ground in recent years is Augmented Reality (AR), which allows to insert virtual objects into a real-world view using a device's camera and screen. This form of interaction associated with education can improve teaching and experiencing practical knowledge in schools, especially in more difficult subjects such as Chemistry. This study focused on virtual education by providing a platform for students to follow practical oriented subjects like Chemistry. As a result, a mobile application is created with four main functions that assist students during their learning process of Chemistry using the AR technique. The main functions are, AR with Artificial Intelligence (AI), Chemical equation identification and correction with Image Processing, Chabot with sentiment analysis and text summarization. The application is developed by using Machine Learning, AI with Deep Learning and Mobile Application development technologies. ARChem shows 3D models of flasks with important descriptions with the use and also features a Chabot with text summarization for frequently asked questions.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ARChem: Augmented Reality Chemistry Lab\",\"authors\":\"M.R.L.Y Menikrama, C.S Liyanagunawardhana, H.G.D.M.I Amarasekara, M.S Ramasinghe, L. Weerasinghe, I. Weerasinghe\",\"doi\":\"10.1109/iemcon53756.2021.9623121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the technologies that has been gaining ground in recent years is Augmented Reality (AR), which allows to insert virtual objects into a real-world view using a device's camera and screen. This form of interaction associated with education can improve teaching and experiencing practical knowledge in schools, especially in more difficult subjects such as Chemistry. This study focused on virtual education by providing a platform for students to follow practical oriented subjects like Chemistry. As a result, a mobile application is created with four main functions that assist students during their learning process of Chemistry using the AR technique. The main functions are, AR with Artificial Intelligence (AI), Chemical equation identification and correction with Image Processing, Chabot with sentiment analysis and text summarization. The application is developed by using Machine Learning, AI with Deep Learning and Mobile Application development technologies. ARChem shows 3D models of flasks with important descriptions with the use and also features a Chabot with text summarization for frequently asked questions.\",\"PeriodicalId\":272590,\"journal\":{\"name\":\"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iemcon53756.2021.9623121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iemcon53756.2021.9623121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

近年来取得进展的技术之一是增强现实技术(AR),它允许使用设备的摄像头和屏幕将虚拟物体插入到现实世界的视图中。这种与教育相关的互动形式可以改善学校的教学和实践知识,特别是在化学等较难的科目中。本研究的重点是虚拟教育,为学生提供一个学习化学等实践性课程的平台。因此,我们创建了一个具有四个主要功能的移动应用程序,帮助学生在使用AR技术学习化学的过程中。主要功能有:人工智能的AR,图像处理的化学方程识别和校正,情感分析和文本摘要的Chabot。该应用程序是通过使用机器学习,人工智能与深度学习和移动应用程序开发技术开发的。ARChem显示了具有重要使用描述的烧瓶的3D模型,并且还具有用于常见问题的文本摘要的Chabot。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
ARChem: Augmented Reality Chemistry Lab
One of the technologies that has been gaining ground in recent years is Augmented Reality (AR), which allows to insert virtual objects into a real-world view using a device's camera and screen. This form of interaction associated with education can improve teaching and experiencing practical knowledge in schools, especially in more difficult subjects such as Chemistry. This study focused on virtual education by providing a platform for students to follow practical oriented subjects like Chemistry. As a result, a mobile application is created with four main functions that assist students during their learning process of Chemistry using the AR technique. The main functions are, AR with Artificial Intelligence (AI), Chemical equation identification and correction with Image Processing, Chabot with sentiment analysis and text summarization. The application is developed by using Machine Learning, AI with Deep Learning and Mobile Application development technologies. ARChem shows 3D models of flasks with important descriptions with the use and also features a Chabot with text summarization for frequently asked questions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Maximization of the User Association of a Low-Power Tier Deploying Biased User Association Scheme in 5G Multi-Tier Heterogeneous Network A Deep Reinforcement Learning: Location-based Resource Allocation for Congested C-V2X Scenario A Deep Learning Approach to Predict Chronic Kidney Disease in Human Evaluation of a bio-socially inspired secure DSA scheme using testbed-calibrated hybrid simulations Siamese Network based Pulse and Signal Attribute Identification
×
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