Article(id=1242136274056852003, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242136253227934232, articleNumber=null, orderNo=15, doi=10.3981/j.issn.1000-7857.2017.16.009, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1496332800000, receivedDateStr=2017-06-02, revisedDate=1501516800000, revisedDateStr=2017-08-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1503709804527, onlineDateStr=2017-08-26, pubDate=1503849600000, pubDateStr=2017-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1503709804527, onlineIssueDateStr=2017-08-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077965507, creator=sys-migrate, updateTime=1774077965507, updator=sys-migrate, issue=Issue{id=1242136253227934232, tenantId=1146029695717560320, journalId=1146031591421210625, year='2017', volume='35', issue='16', pageStart='1', pageEnd='96', issueExtLink='null', onlineDate='null', pubDate='1503849600000', pubDateStr='2017-08-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077960540, creator='sys-migrate', updateTime=1774077960540, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=64, endPage=73, ext={EN=ArticleExt(id=1242136278049829437, articleId=1242136274056852003, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=A review on the recognition of mid-air gestures, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=The rapid development of the ubiquitous computing and wearable devices witnesses a new challenge in the natural hand gesture recognition:to free the users from the constraints of the environment and the devices and help the users interact with the environment in a natural and effective way. And the mid-air gesture recognition is one of the effective methods, capable of dealing with the challenge. This paper describes the definition of the mid-air gesture at first, and then analyzes and summarizes the existing hand gesture recognition methods, based on the computer vision, the ultrasonic signal and the electromagnetic wave. At last, this paper discusses the applications of the mid-air gesture recognition, some open questions and the development in the future., authors=YU Hanchao¹, YANG Xiaodong^1,2, ZHANG Yingwei^1,2, ZHONG Xi^1,2, CHEN Yiqiang^1,2, authorsList=YU Hanchao, YANG Xiaodong, ZHANG Yingwei, ZHONG Xi, CHEN Yiqiang, authorCompany=1. Institute of Computing Technology, Chinese Academy of Sciences;Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=H25GGkDXijIiEdSiVRKWAg==, pdfFileSize=6003708, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242136276636344909, articleId=1242136274056852003, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=凌空手势识别综述, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=普适计算技术和可穿戴设备的快速发展对自然的手势识别技术提出了新的挑战：应使用户尽可能摆脱对环境和输入设备的束缚，与环境进行自然而有效的手势交互。凌空手势（mid-air gestures）识别是应对新挑战的一类有效的手势识别技术。本文首先对凌空手势的定义进行描述，然后分析和总结现有的基于计算机视觉、超声波和电磁信号的三大类凌空手势识别技术，并指出凌空手势识别技术的应用领域、开放性问题及未来发展方向。, authors=于汉超¹, 杨晓东^1,2, 张迎伟^1,2, 钟习^1,2, 陈益强^1,2, authorsList=于汉超, 杨晓东, 张迎伟, 钟习, 陈益强, authorCompany=1. 中国科学院计算技术研究所;移动计算与新型终端北京市重点实验室, 北京 100190;
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