In this paper we introduce the simultaneous tracking and activity recognition (STAR) problem, which exploits the synergy between location and activity to provide the information necessary for automatic health monitoring. Automatic health monitoring can potentially help the elderly population live safely and independently in their own homes by providing key… (More)
Identifying what people do in the home can both inform ubiquitous computing application design decisions and provide training data to the machine learning algorithms used in their implementation. This paper describes an unsupervised technique in which contextual information gathered by ubiquitous sensors is used to help users label a multitude of anonymous… (More)
Rating how well a routine activity is performed can be valuable in a variety of domains. Making the rating inexpensive and credible is a key aspect of the problem. We formalize the problem as MAP estimation in HMMs where the incoming trace needs repair. We present polynomial time algorithms for computing minimal repairs with maximal likelihood for HMMs,… (More)
Engineers and researchers, particularly in the field of robotics and human-computer interaction, are often inspired by science fiction futures depicted in novels, on television, and in the movies. For example, Honda's Asimo humanoid robot is said to have been directly inspired by the Astroboy manga series. In turn, public perception of science is also… (More)
From the intersection of computational science and technological speculation, with boundaries limited only by our ability to imagine what could be. When machines are in the natural world, what in the world is still unnatural?