In this paper, we introduce a novel context sensitive system design paradigm. Multiple sensors/ computational architecture, in the form of our eWatch device, is used to infer the ...
Asim Smailagic, Daniel P. Siewiorek, Uwe Maurer, A...
This paper describes an approach to surface identification in the context of mobile robotics, applicable to supervised and unsupervised learning. The identification is based on ana...
Over the last few years, target tracking in wireless sensor networks has become a topic of particular interest. This paper presents a tracking system intended for deployment in di...
Evangelos B. Mazomenos, Jeffrey S. Reeve, Neil M. ...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Mobile devices became powerful recently and wireless Internet access is becoming standard. One important class of networked, mobile applications are location based games, making e...