Aaron S. Crandall

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The pervasive sensing technologies found in smart environments offer unprecedented opportunities for monitoring and assisting the individuals who live and work in these spaces. An aspect of daily life that is important for one's emotional and physical health is social interaction. In this paper we investigate the use of smart environment technologies to(More)
Technological enhancements aid development and research in smart homes and intelligent environments. The temporal nature of data collected in a smart environment provides us with a better understanding of patterns that occur over time. Predicting events and detecting anomalies in such datasets is a complex and challenging task. To solve this problem, we(More)
The development of cataracts, a well-known complication of electrical injury, remains poorly understood. We reviewed 113 patients suffering major electrical injuries and identified seven patients who suffered 13 cataracts, an incidence of 6.2%. Six of the seven patients were injured with high (greater than 1,000-v) voltage current, while one man was injured(More)
Time is an important aspect of all real world phenomena. In this paper, we present a temporal relations-based framework for discovering interesting patterns in smart environment datasets, and test this framework in the context of the CASAS smart environments project. Our use of temporal relations in the context of smart environment tasks is described and(More)
In smart home environments, it is highly desirable to know who is performing what actions. This knowledge allows the system to accurately build individuals' histories and to take personalized action based on the current resident. Without a good handle on identity, multi-resident smart homes are less effective when used for medical and assistive(More)
This study evaluates the ability of users to self-install a smart home in a box (SHiB) intended for use by a senior population. SHiB is a ubiquitous system, developed by the Washington State University Center for Advanced Studies in Adaptive Systems (CASAS). Participants involved in this study are from the greater Palouse region of Washington State, and(More)
As smart home technologies are deployed in research and real world environments, there is continuing need for quality visualization. These data come from a variety of sensor sources, artificial intelligence algorithms and human feedback. Building tools that are easily configured, rapidly developed and capable of communicating with both real time and(More)