Article(id=1242140416053686846, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242140406553583693, articleNumber=null, orderNo=6, doi=10.3981/j.issn.1000-7857.2023.08.004, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1638201600000, receivedDateStr=2021-11-30, revisedDate=1656950400000, revisedDateStr=2022-07-05, acceptedDate=null, acceptedDateStr=null, onlineDate=1684724362650, onlineDateStr=2023-05-22, pubDate=1682611200000, pubDateStr=2023-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1684724362650, onlineIssueDateStr=2023-05-22, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078953026, creator=sys-migrate, updateTime=1774078953026, updator=sys-migrate, issue=Issue{id=1242140406553583693, tenantId=1146029695717560320, journalId=1146031591421210625, year='2023', volume='41', issue='8', pageStart='1', pageEnd='144', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078950773, creator=sys-migrate, updateTime=1774078950773, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=36, endPage=52, ext={EN=ArticleExt(id=1242140422034764392, articleId=1242140416053686846, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=A review of the frontier research on future smart home, columnId=1242140418255696464, journalTitle=Science & Technology Review, columnName=Exclusive：Discipline integration and design innovation, runingTitle=null, highlight=null, articleAbstract=With the rapid development of artificial intelligence, the Internet of Things and big data, etc., the smart home enters the Era 3.0, which profoundly relies on user-based big data mining and deep learning. At present, smart interaction, intelligent perception, and complex decision-making in the smart home urgently need new supporting technologies and methods. This paper integrated a large amount of frontier research worldwide and summarized and refined the three elements required for the future smart home: "perception" "thinking" and "execution". This paper began with an overview of the frontier platforms for smart homes in China and abroad, followed by an elaboration and review of the research on data collection, feature extraction, perception in smart home scenarios, and multimodal human-computer interaction and innovation scenarios for smart homes, respectively. The authors presented a series of related research work of Future Lab in the smart home field for researchers in related fields., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=ZIkCAH7ZX8gUPXA1aTybNQ==, pdfFileSize=1485511, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. The Future Laboratory, Tsinghua University, Beijing 100084, China
2. Academy of Arts & Design, Tsinghua University, Beijing 10084, China, fund=null, authors=FU Xinyi¹, ZHANG He¹, XUE Cheng^1,2, SUN Tongxin^1,2, authorsList=FU Xinyi, ZHANG He, XUE Cheng, SUN Tongxin), CN=ArticleExt(id=1242140421099434597, articleId=1242140416053686846, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=面向未来的智能家居前沿进展, columnId=1242140417479750213, journalTitle=科技导报, columnName=专题：学科融合与设计创新, runingTitle=null, highlight=null, articleAbstract=随着人工智能、物联网、大数据等科技的迅猛发展，智能家居正式进入了 3.0时代，深度依赖用户大数据进行深度学习和数据挖掘，迫切需要面向智能家居的智能交互、智能感知和复杂决策的新技术新方法作为支撑。综合国内外前沿相关研究，提炼出未来智能家居所需要的3大要素：“感知”“思考”和“执行”。并以此为脉络，综述了国内外智能家居前沿平台的研发进展，评议了智能家居环境中的数据采集和特征提取研究、智能家居场景下的智能感知研究、面向智能家居的多模态人机交互与创新场景研究的相关成果，介绍了清华大学未来实验室在智能家居领域的相关研究工作。, correspAuthors=null, authorNote=付心仪，助理研究员，研究方向为自然人机交互、情感计算、文化遗产数字化等，电子信箱：fuxy@tsinghua.edu.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=P5tlu0tF2u0XAqWcmC975Q==, pdfFileSize=1485511, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 清华大学未来实验室，北京 100084
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