学术报告-WellMon: Wellness Monitoring for Old People through Unobtrusive Methods
发布时间: 2016-10-14 浏览次数: 59

时间:2016年10月18日 13:00

地点:一号学院楼140报告厅


主讲人简介:Yanyong Zhang is currently a Professor in the Electrical and Computer Engineering Department at Rutgers University. She is also a member of the Wireless Information Networks Laboratory (Winlab). She has 18 years of research experience in the areas of sensor networks, mobile computing and high-performance computing, and has published more than 90 technical papers in these fields. Her current research interests are in future Internet and pervasive computing. Her research is mainly funded by the National Science Foundation, including an NSF CAREER award.


摘要:In order to support wellness of aging and aged adults, as well as to minimize elder-care costs for their families, we must shift the current burden of elder care from one that is exclusively carried out by informal or family caregivers, to one that includes the use of technology. Fortunately, technologies in areas such as sensing, communications, data mining, privacy protection, and user interfaces, have recently made great advances. It is thus time to harvest these technologies to realize the vision shared by most elder adults, that of aging in place.

In this talk, we introduce WellMon, a holistic wellness monitoring solution for old people through a set of unobtrusive methods. First, we will focus on the architectural design for large-scale, general-purpose sensing systems -- WellMon's carefully designed layered system architecture facilitates system agility and organic growth. Second, we will focus on a few case studies of wellbeing monitoring, including their heartbeats and gaits, as well as their social wellbeing.