You are here

Presenter: Dr. Eiman Kanjo, Associate Professor of Mobile Sensing and Pervasive Computing, Information systems Department, KSU
The convergence of pervasive, stream, and cloud computing, with advances in sensor technology and signal processing, provides a platform for a wide range of innovative applications based on a more-refined understanding of the users state, wherever they may be and whatever they might be doing. Recent developments have made it possible to infer affective (emotional) states of users from scent, gestures, facial expressions, and even from mobile network datasets, and these signals can be continuously detected in a pervasive environment in which our bodies, clothing, and physical surroundings including pollution and weather conditions are saturated with sensors. There is overwhelming evidence that people will trade this data in order to receive value-added services or derive other social benefits. There is equal evidence that some application or service providers will appropriate what is essentially personal data and aggregate it, privatize it, or data-mine it, with potentially disturbing implications for individual and collective privacy. Ideally, we would leverage these technological advances to provide smarter pervasive applications that impact people lives in urban areas, without compromising social constructs such as privacy and other civil liberties. We have anticipated that the combination of these advances opens the door for new innovative research and will lead to the development of sensing applications that are likely to revolutionize a large number of existing business sectors and ultimately significantly impact our everyday lives. In this article we present a high level description of five mobile sensing scenarios that have emerged through our work in this research area over the past and present at the personal, situational and city levels. In particular we will present the following projects CityMood, PollutionSpy, NeuroPlace, mFeel, Emoshopper.

Date: April 15, 2013
Time: 12-1pm
Location: Room 117, Building 20 for Skerg members; Broadcasting to B20, room 37 for students