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Today's mobile devices have inherited many of the characteristics of desktop computing -- including the assumptions that the user's full attention and dexterity can be focused on the interface. Unfortunately, on-the-go users are impaired by their mobility and often find desktop-style Windows Icon Menu and Pointer (WIMP) interfaces difficult, if not impossible, to use while performing their primary...
The field of electronic noses and gas sensing has been developing rapidly since the introduction of the silicon based sensors. There are numerous systems that can detect and indicate the level of a specific gas. We introduce here a system that is low power, small and cheap enough to be used in mobile robotic platforms while still being accurate and reliable enough for confident use. The design is...
Task trees are common notations used to describe the interaction between a user and an interactive application. Thus, they contain valuable information about the expected user behaviour. In this paper, we present a method for automatically generating test data from a task tree. The task tree is extended to support operational profile specification. The user behaviour is automatically extracted as...
We derive the Neyman-Pearson error exponent for the detection of Gauss-Markov signals using randomly spaced sensors. We assume that the sensor spacings, d1,d2,..., are drawn independently from a common density fd(.), and we treat both stationary and nonstationary Markov models. Error exponents are evaluated using specialized forms of the strong law of large numbers, and are seen to take on algebraically...
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