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Pervasive Technologies for Depression Early Stage Prediction and Intervention (PerDESPI)

時間：2013年11月4日 地點：九龍湖校區計算機樓313室

報告簡介：

Mental disease is one of the greatest personal, societal and economic problems of the modern world. With mental health care already representing over a third of the cost of health care in the EU, health services struggle to keep up. The most common of all mental disorders is Depression, a disease that causes immense individual and family suffering. The goal of the research is to contribute to the prevention of Depression. PerDESPI aims to develop pervasive technologies to monitor subjects' physiological and cognitive state in their natural environment. These include wearable sensors to measure EEG, ECG, physical activity and sleep; tools for voice analysis (depression is associated with changes in voice tone) and activities. It also concentrates innovative solutions, e.g. Computer Cognitive Behavioral Therapy, which may intervene in Depression effectively.

報告人簡介：

胡斌教授，******；現任蘭州大學信息科學與工程學院院長；IET Fellow；中國計算機學會協同計算分會主任；教育部計算機學科教指委委員；國家自然科學基金委信息科學部計算機科學專家評審組成員；ACM中國分會執行委員；國際社會神經科學中國分會理事，Web Intelligence Consortium (WIC)中國分會理事；瑞士蘇黎世聯邦理工學院客座教授等。主要研究領域為普适計算、心理生理計算、協同工作技術和語義網。

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