题目：Elderly Health Care at Home
主讲人：苍爽 副教授 （Faculty of Management,Bournemouth University, UK）
Dr Shuang Cang is a Principal Academic at Bournemouth University. She has both industry and academic experience and conducts research from both social and science perspectives. After finishing her PhD study, she worked for a leading UK software company, where she was involved in developing statistical software for the pharmaceutical industries and biological research laboratories. Then she worked in the Department of Computer Sciences at Exeter University and the University of Wales (Aberystwyth). Before joining the Bournemouth University, she worked for a UK Government Research Laboratory and in Central Government Department as Senior Statistician/Senior Analyst, where she applied statistical and pattern recognition techniques to solve real and complex problems.
She received and is currently managing three large EU funded projects as local coordinator/lead investigator. She has published quality SSCI and SCI international journals from social and science domains, such as European Journal of Operational Research, Decision Support Systems, Expert Systems with Applications, International Journal of Production Economics, International Journal of Tourism Research, Current Issues in Tourism, Tourism Economics and IEEE Journal of Biomedical and Health Informatics & IEEE Transactions on Neural Systems & Rehabilitation Engineering. Her main research areas are Tourism Study and ICT Healthcare. The techniques such as Data Mining, Artificial Intelligence, Pattern Recognition, Multivariate Statistics, Forecasting, Segmentation, Economic Impact and Quantitative Analysis are used in these research domains.
The population ageing has been a big global problem. Population ageing affects human quality of life, especially in health care, e.g., rise in health care cost, ineffective and insufficient care. Thus, ageing populations pose a number of challenges to families, communities and societies. A key research issue is to provide more accurate, unobtrusive, low-cost and practical assisted technologies for the elderly, and to help them live independently at home as long as possible in the future.
The home-based assisted technologies for elderly people are emerging in these years, which aim to offer alternative solutions to help maintain or improve their quality of life by using associated technologies. Compared with the traditional or formal health care modes, the assisted technologies are more beneficial to enhance the elderly’s confidence to live independently, avoid the unnecessary intervenes given by caregivers or communities, and reduce the costs as well. This talk is about current research work and future prospects and innovation of ICT enabled health care from theory and practice perspective, especially concentrate on Human Activity Recognition systems and monitoring the elderly’s specific activities and their long-term behaviour pattern which enable to lead a healthy lifestyle and to stay alone in a safety condition and for elderly people.