摘要
由于我国老年人口不断增加,尤其是空巢老人数量越来越多,智慧居家养老服务已成为社会关注与亟待解决的问题。本文面向国家产业战略需求,立足于健康养老领域现存的问题与挑战,综合利用视觉认知机制和机器学习、深度学习的理论与方法,基于多源异构大数据,构建老年居家事件综合分析深度模型,旨在通过实现对监控事件的识别、分析及预警,满足老年人对服务的多样性、动态性和个性化需求,实现"智慧养老"。
With the continuous increase of the elderly population in China,especially the number of the empty nest elderly,smart home-based care service has become a social concern and an urgent problem to be solved.Based on the current problems and challenges in the field of health care for the elderly and the national industrial strategic needs,this paper researches on using visual cognitive mechanism and machine learning and deep learning theory and methods to build a deep model of comprehensive analysis of elderly home events by using multi-source heterogeneous big data.It aims to meet the diversified,dynamic and personalized requirements of the elderly and realize"intelligent pension"by realizing the identification,analysis and early warning of monitoring events.
作者
吕英华
齐妙
LYU Ying-hua;QI Miao(College of Humanities and Sciences of Northeast Normal University,Changchun 130117,China)
出处
《福祉研究》
2020年第1期1-6,共6页
Welfare Research
基金
吉林省科技厅重点研发项目(20180201089GX)
吉林省教育厅“十三五”科学技术项目(JJKH20190291KJ,JJKH20190355KJ)
关键词
智慧养老
人工智能
深度学习
个性化
intelligent pension
artificial intelligence
deep learning
personalization
作者简介
吕英华(1962-),男,吉林省长春市人,博士,教授,博士生导师,东北师范大学人文学院院长,主要从事福祉社会建设和人工智能研究;齐妙(1981-),女,辽宁省葫芦岛市人,副教授,硕士生导师,主要从事大数据分析与机器视觉研究。
