University of Minnesota
University Relations
http://www.umn.edu/urelate
612-624-6868
myU OneStop


Go to unit's home.

Home | Seminars and Symposia | Past seminars/symposia: Tuesday, April 28, 2015

DTC Seminar Series

Wireless Sensor Networks for Ambient Assisted Living

by

Ramesh Rajagopalan
University of St. Thomas

Tuesday, April 28, 2015
2:15 p.m. reception
2:30 p.m. seminar

401/402 Walter Library

Ramesh Rajagopalan

Wireless sensor networks are widely used in several applications such as target detection and tracking, surveillance, and habitat monitoring. A rapidly growing application of sensor networks is assisted living and monitored care for the elderly. This talk will focus on principles and challenges in designing efficient sensor networks for applications such as activity recognition, fall detection, and fall prevention in assisted living facilities. There has been very little research in the area of efficient fall prevention. Early identification of fall risks might prevent a fall from occurring thus eliminating the physical, financial, and emotional costs of falling. This talk will discuss the design of a new sensor system composed of cameras and ambient sensors for assessing fall risk and preventing the occurrence of falls. The proposed system will help identify persons with an increased risk of falling. This will enable a tailored in-home intervention strategy such as exercise, home modification and medication prompting.

 

Ramesh Rajagopalan received the Ph.D. degree in electrical engineering from Syracuse University, Syracuse, NY, in 2008. He is currently an Assistant Professor in electrical engineering at University of St. Thomas where he has been actively engaged in teaching and research since September 2009. His research interests include computer vision, wireless communications and networks, sensor networks for health care, and multi-objective optimization. He has authored/coauthored several conference and journal papers in the areas of sensor networks, genetic algorithms, and multiobjective optimization. He has also mentored several undergraduate students at St. Thomas on research projects in the areas of computer vision and sensor networks. Dr. Rajagopalan was the recipient of the Graduate School Masters Prize and the all university Doctoral Prize at Syracuse University in recognition of his research and scholarship.