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非接触式人群体质检测系统的规划设计

The Planning and Design of Non-contact Human Physical Fitness Detection System
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摘要 随着国民经济的发展和人民生活水平的提高,大规模人群体质检测对尽早发现和诊治疾病、保障人民群众的身体健康的重要性日益凸显。非接触式人群体质检测系统无需医患双方直接接触,借助信息化自动化手段,采用远程问诊和自助检测的形式,极大地提高体检效率。文章运用云计算、大数据等先进的信息技术,从人群体质检测的实际出发,设计了一套较为完备的非接触式人群体质检测系统,针对不同应用场景,设计合理,技术领先,易于操作实施,可供从事相关系统研究与开发的人员参考。 With the development of national economy and the improvement of people′s living standards,the importance of mass physical fitness testing has become increasingly prominent.It plays an important role in the early detection,diagnosis and treatment of diseases and the protection of people′s health.Non-contact human physical fitness testing system,without direct contact between doctors and patients,with the help of information automation means,the use of remote consultation and self-detection form,greatly improve the efficiency of physical examination.Using cloud computing,big data and other advanced information technology,this paper designs a relatively complete non-contact human physical fitness testing system based on the actual situation of human physical fitness testing.Aiming at the application scenario of non-contact human physical fitness detection,the design is reasonable,the technology is advanced,and the operation is easy to implement.It can be used as reference for people engaged in the research and development of related systems.
作者 罗进 魏军 Luo Jin;Wei Jun(Xiangyang Polytechnic,Xiangyang Hubei 441050)
出处 《襄阳职业技术学院学报》 2024年第3期113-116,共4页 Journal of Xiangyang Polytechnic
基金 2021年度湖北省教育厅科学研究计划指导性项目“中小学生体质监测指标集成采集研究”(B2021487)。
关键词 体质检测 非接触 云计算 大数据 人工智能 physical examination non-contact big data artificial intelligence
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