项目名称：
基于物联网和数据融合的健康相关活动识别系统研究（牵头单位：复旦大学；合作单位：比利时鲁汶大学、意大利马切拉塔大学、荷兰飞利浦电子公司、中国科学院苏州纳米技术与纳米仿生研究所、中国科学院大学）。资助信息：国家重点研发计划（2017YFE0112000）。
欧方项目名称：HEART-HEalth related Activity Recognition system based on IoT，牵头单位：University of Macerata（意大利马切拉塔大学），合作单位：Philips Electronics Nederland B.V. （荷兰飞利浦电子公司）、Katholieke Universiteit Leuven（比利时鲁汶大学）、Philips (China) Investment Co Ltd飞利浦(中国)投资有限公司、Fudan University（复旦大学）、Graduate University of Chinese Academy of Sciences（中国科学院大学）、Jacobs University Bremen、Institute of Studies for the Integration of systems、Eurocentro Srl。资助信息：“欧盟地平线2020项目-玛丽-居里行动计划-创新培训网络”项目（EU H2020-MSCA-ITN-2017 HEART project，项目号： 766139）。
项目介绍：慢性病已逐渐成为全球主要致死性疾病之一。慢性病的产生和发展与人口老龄化和人们不良行为以及生活方式密切相关。如何采取有效措施预防和控制慢性病的发生和发展已成为世界性公共卫生问题。本项目基于全球视野，积极主动布局和实施国际化、战略性、跨学科的科技合作，联合中欧双方的知名大学、研究机构和企业强强合作。项目提出了一个基于物联网和数据融合技术的慢性病预防和管理方案：个人健康辅助平台，主要通过感知和获取人们的生理体征、行为及与环境的交互信息来识别人们健康相关的活动，从而实现健康的监测和预测，制定个性化的健康管理方案，引导人们走向更健康的生活方式。在本项目的研发和实施过程，项目突破了以下关键技术难点：非侵入式生理及行为信号传感与新型柔性材料、新型柔性印刷技术；多模态信号处理与个性化健康信息分析，生理及行为信号特征提取与融合方法；异构物联网的大数据处理；网络安全与隐私保护技术；以用户为中心的设计和市场策略等。本项目提出的创新关键技术可广泛用于低成本、高性能的可穿戴设备、家用医疗健康产品和移动健康管理产业，并有针对性地解决目前老龄化所面临的痛点，实现慢性病的早期预防和及时有效的治疗和管理，从而有效地提高人们的健康及生活水平。
Abstract：
Chronic diseases have gradually become one of the major lethal diseases in the world. The generation and development of chronic diseases are closely related to the aging of the population and people's poor behaviors and lifestyles. How to take effective measures to prevent and control the occurrence and development of chronic diseases has become a worldwide public health problem. This project is based on a global perspective, proactively laying out and implementing international, strategic, interdisciplinary scientific and technological cooperation, and joining forces with renowned universities, research institutions and enterprises from both China and Europe. The project proposes a chronic disease prevention and management tool based on IoT and data fusion technology: a personal health assistance platform, which mainly identifies people's health-related activities by sensing and acquiring their physiological signs, behaviors and environmental information, thus realizing health monitoring and prediction, formulating personalized health management plans and guiding people towards a healthier lifestyle. During the development and implementation of this project, the project has broken through some key technical difficulties such as non-invasive physiological and behavioral signal sensing, novel flexible materials fabrication and flexible printing technology, multi-modal signal processing and personalized health information analysis, physiological and behavioral signal feature extraction and data fusion, heterogeneous IoT data processing, network security and privacy protection technology, user-centered design and marketing strategy, etc. The key technical difficulties broken through in this project can be widely used in low-cost, high-performance wearable devices, home medical products and mobile health management industry. These techniques are also expected to solve the current aging of population problem, to achieve early prevention of chronic diseases and timely and effective treatment and management, thus effectively improving people's living standards and reducing medical costs.
科技产出：本项目共发表SCI论文29篇，EI论文11篇，其中国际合作发表论文6篇；申请专利11项，其中发明专利8项，实用新型专利3项；培养研究生10名，其中硕士研究生6名，博士研究生4名，博士后3名。