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空巢老人情感交互终端系统

Empty Nest Elderly Emotional Interaction Terminal System
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摘要 随着老年化问题的加剧,空巢老人的养老已经成为我国社会的一大重要问题,由于年龄带来的对健康、行动力等方面的影响,再加上缺少亲人的陪伴和空巢老人群体的特殊性,使得空巢老人在居家养老的过程中存在着较大的危险性,更容易受到疾病或外来刺激的伤害,加之空巢老人比普通人更需要情感依托。尽管现在出现了很多的朝阳产业,但这些产品常常实用性不强,且造型冰冷,老人在使用过程中容易产生心理压力,无法满足老人的精神方面的需求。因此,本文结合老人在多个方面的需求,利用物联网技术,设计一款空巢老人的情感终端,为居家养老指引新的方向,满足独居老人居家养老独立性、安全性需求,是符合家庭结构转变的居家养老新模式。 With the aggravation of the aging problem,the elderly care of empty nesters has become an important problem in our society.Due to the influence of age on health,mobility and other aspects,coupled with the lack of family members’company and the particularity of empty nesters,the elderly care at home is more dangerous and more vulnerable to diseases or external factors.In addition,the empty nest elderly need emotional support more than ordinary people.Despite the emergence of many sunrise industries,these products are often not practical and cold in shape,and the elderly are prone to psychological pressure in the use process,unable to meet the spiritual needs of the elderly.Therefore,in this paper combining the needs of the elderly in many aspects and use the internet of things technology to design an empty nest elderly emotional terminal to guide a new direction for home-based care,to meet the needs of independence and security of home-based care for the elderly living alone,which is a new model of home-based care for the elderly in line with the transformation of family structure.
作者 侯需要 周冰涛 李敏 黄凯宁 HOU Xuyao;ZHOU Bingtao;LI Min;HUANG Kaining(Bengbu University,Bengbu 233030,China)
机构地区 蚌埠学院
出处 《现代信息科技》 2019年第24期176-178,共3页 Modern Information Technology
关键词 空巢老人 情感交互 终端系统 物联网技术 empty nest elderly emotional interaction terminal system internet of things technology
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  • 1王维平,朱一凡,王维,党晓玲.多媒体仿真建模方法和仿真策略[J].系统仿真学报,1995,7(4):11-17. 被引量:21
  • 2王维平,朱一凡,华雪倩,胡晓峰.多媒体仿真研究与发展[J].系统仿真学报,1997,9(2):1-5. 被引量:20
  • 3王素玉,沈兰荪.智能视觉监控技术研究进展[J].中国图象图形学报,2007,12(9):1505-1514. 被引量:82
  • 4Bouwmans T, El Baf F, Vachon B. Background modeling using mixture of Gaussians for foreground detection: A survey. Recent Patents on Computer Science, 2008, 1(3) 219-237.
  • 5Wojek C, Dollar P, Schiele B, Perona P. Pedestrian detection: An evaluation o{ the state o{ the art. IEEE Pattern Analysis and Machine Intelligence, 2012, 34(4): 743-761.
  • 6Yilmaz A, Javed O, Shah M. Object trackingt A survey. ACM Computing Surveys (CSUR), 2006, 38(4) 1-29.
  • 7Wang X. Intelligent multi-camera video surveillance: A review. Pattern Recognition Letters, 2012, 34 (1) : 3-19.
  • 8Wu Y, Lira J, Yang M H. Online object tracking: A bench- mark//Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition. Portland, USA, 2013 2411-2418.
  • 9Andreopoulos A, Tsotsos J K. 50 years of object recognition: Directions forward. Computer Vision and Image Understanding, 2013, 117(8) 827-891.
  • 10Zhang X, Yang Y H, Han Z, et al. Object class detection: A survey. Association for Computing Machinery Computing Surveys (CSUR), 2013, 46(1) : 1311-1325.

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