青少年智能健康监护体系研究

Adolescent Intelligent Health Monitoring System Based on Smart Classroom

针对青少年健康情况及危险因素评估,提出了基于情境感知的青少年健康促进综合干预方案和效果评估方法。通过监测传感器和物联网传感网络,借助图像处理技术和多态监测算法实现对青少年举止行为、身体状况、面部微表情、肤色、口气等多源异构健康数据的采集和泛化。实践表明:利用大数据、云计算、人工智能、物联网等技术,构建基于Hadoop技术的青少年智能健康监护体系,能够实现数据融合、治理、分析和开放共享,建立青少年健康发展动态化管理与预警干预,辐射课上、课下、校内、校外全领域范围,落实青少年健康生活方式养成模型,有效提升青少年健康素养。

Based on the evaluation of adolescent health status and risk factors,a comprehensive intervention plan and effectiveness evaluation method for adolescent health promotion were proposed based on context awareness.Through monitoring sensors and the Internet of Things sensor network,image processing technology and polymorphic monitoring algorithms are used to achieve the collection and generalization of multi-source heterogeneous health data such as adolescent behavior,physical condition,facial micro expression,skin tone,and tone.Practice has shown that building an intelligent health monitoring system for adolescents based on Hadoop technology,which utilizes technologies such as big data,cloud computing,artificial intelligence,and the Internet of Things to achieve data fusion,governance,analysis,and open sharing,establishing dynamic management and early warning intervention for adolescent health development,radiating across the entire range of classes,off classes,on campus,and off campus,and implementing a model for developing a healthy lifestyle for adolescents,will effectively promote the improvement of teenagers'health quality.