面向老年人健康的非干预式感知与持续计算研究

自本世纪以来，我国已进入老龄化社会，2012年末60岁以上老年人已占人口总数的14.3%，未来20年我国老年人口将进入快速增长期。本项目面向我国老年人健康特点与需求，组成多学科融合的研究团队，基于人体系统论与信息论，以面向老年人健康的感知与计算方法及其关键技术为主题，重点研究非干预式健康状态感知、持续性健康数据多维度关联分析、人体健康评估模型及其促进方法；注重解决感知与分析方法以及评估模型的准确性、高效性以及适应性等基本问题，可在日常生活环境下健康状态非干预式持续感知方法、健康数据流异常检测与预测方法、系统化与个性化结合的老年人健康评估模型以及面向能力受限群体的情境敏感健康促进方法等研究点上取得创新研究成果，并通过构建原型实现平台，实施典型实例验证，评测和提升研究成果的有效性，为服务我国老年人健康生活提供方法与技术支撑。

Our country has entered the aging society in the 21st century. Till the end of 2012, the elderly people have taken up 14.3% of the whole population. It is also predicted that the number of elderly people will grow more rapidly in the coming 20 years. According to the characters and demands of elderly healthcare, we have built a team with researchers from multi-disciplines. Based on human body system theory and information theory, the project will address the sensing and computing approaches and techniques about elderly healthcare. The main research challenges s include non-intrusive health status sensing, multi-dimensional association analysis of continuous health data, the evaluation model of human health and the corresponding promotion approach. In this research, we will focus on the investigation of sensing and analyzing approaches, as well as the accuracy, effectiveness and suitability of the evaluation model. The novelty of this project is demonstrated through the following points: the approaches on non-intrusive continuous sensing of human health status and abnormal data stream detection and prediction, the elderly health evaluation model that combines systemization and personalization, as well as the context-aware health promotion method for people with limited ability. We will further build a prototype platform, which can be leveraged to validate the effectiveness of the approaches we propose. The research outcome will make contributions to the infrastructure and assisting services for addressing elderly healthcare problems in the aging society.