Tremor was recorded under simulated vitreoretinal microsurgical conditions as subjects attempted to hold an instrument motionless. Several autoregressive models (AR, ARMA, multivariate, and nonlinear) are generated to predict the next value of tremor. It is shown that a sixth order ARMA model predictor can predict a tremor having an amplitude of 96.6 +/- 84.5 microns RMS with an error of 8.2 +/- 5.9 microns RMS, a mean improvement of 47.5% over simple last-value prediction.
Current location-aware information systems lack an effective method of maintaining and updating dynamic, location-specific content. We have developed a design for representing locationspecific content that balances flexibility and comprehensibility. We have developed a web-based content management system that implements this design. The system provides an easy-to-use interface to tie any form of media-such as text, pictures, audio, or video-to a location.This work is directly applicable to various forms of locationaware systems, such as tourist information, campus guides, and vehicular on-board navigation. Our work enhances these systems by providing a greater range of content and a more dynamic information base than is currently available in extant systems. We describe how our design allows end-users to easily contribute spatial data to these systems, while simultaneously providing structure to their contributions. Mobile users, utilizing WLAN hotspots in common, real-world environments, can greatly benefit from and easily contribute to location-aware information systems driven by spatially-aware content management systems.
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