Daniel H. Wilson

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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)
In-home health assessment of elders is often accomplished with the help of caregivers, usually family and friends. When formal support is necessary, it is commonly provided by case managers, professionals who visit the home to assess the mental and physical status of the elder, or " client. " In an effort to understand how ADLs are collected, we performed(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)
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