TigerAware: An Innovative Mobile Survey and Sensor Data Collection and Analytics System


报告题目:TigerAware: An Innovative Mobile Survey and Sensor Data Collection and Analytics System

报告人:Yi Shang 教授






From health to community assessment, mobile phones have become a cornerstone of data collection across many areas of research. However, mobile phone-based studies are difficult to develop and deploy, often requiring in house development teams and large portions of research budgets. In this talk, I will present an innovative system developed in our lab called TigerAware. TigerAware is developed to offer a generic and customizable system, which allows researchers to easily create and deploy mobile surveys to collect a wide range of data, including but not limited to question responses, on device sensor data, such as GPS data, and external sensor data, such as blood alcohol level from a Bluetooth breathalyzer. TigerAware is highly modular and uses advanced Web and mobile technologies to incorporate diverse data sources with a rich set of survey question types, requiring little development work by researchers for their individualized studies. TigerAware has been applied to a focus group and several pilot studies ranging from driving after drinking alcohol to bilingualism and aphasia. The real applications show that TigerAware can be easily adapted for new types of data collection and analytics tasks in a wide range of research fields.



Yi Shang is Professor, Associate Chair and Director of Graduate Studies, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, Missouri. He received Ph.D. in Computer Science from University of Illinois at Urbana-Champaign in 1997, M.S. from the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, in 1991, and B.S. from University of Science and Technology of China, Hefei, in 1988. He has published over 180 refereed papers in the areas of artificial intelligence, wireless sensor networks, mobile computing, and bioinformatics and has been granted 6 US patents. His research has been supported by NSF, NIH, Army, DARPA, Microsoft, and Raytheon.