Titlebook: Smart Sensing and Context; Third European Confe Daniel Roggen,Clemens Lombriser,Paul Havinga Conference proceedings 2008 Springer-Verlag Be

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Antimicrobial

Vision-Based Detection of Mobile Smart Objectss without changing their appearance or function. Smart objects describe their appearance directly to the projector-camera system, enabling vision-based detection based on their natural appearance. This detection is a significant challenge, as objects differ in appearance and appear at varying distan

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GammaSense: Infrastructureless Positioning Using Background Radioactivitynatural levels of gamma radiation with the aim of then roughly pinpointing the position of a client in terms of interfloor, intrafloor, and indoor-versus-outdoor locations. We find that the performance of a machine-learning algorithm in detecting position varies with the building, and is highest for

艦旗

People Identification Using Gait Via Floor Pressure Sensing and Analysisng floor, we were able to obtain 3D trajectories of the center of foot pressures over a footstep which contain both the 1D pressure profile and 2D position trajectories of the COP. Based on the 3D COP trajectories a set of features are then extracted and used for people identification together with

Ambulatory

Location-Free Object Tracking on Graph Structuresnsional ordering suffices within the different sections of the network. We present an algorithm that decomposes the network into such sections, tracks objects within using binary sensors and, if required, hands them over to the next section. We evaluate our approach through extensive simulations and

向宇宙

Reasoning about Context in Uncertain Pervasive Computing Environmentsments. Addressing uncertainty is one of the major issues in context-based situation modeling and reasoning approaches. Uncertainty can be caused by inaccuracy, ambiguity or incompleteness of sensed context. However, there is another aspect of uncertainty that is associated with human concepts and re

畫(huà)布

Contextual Ranking of Database Querying Results: A Statistical Approachntexts is an effective approach to provide the most relevant information to the right users. By applying the regression models developed in the statistics field, we present a quantitative way to measure the impact of context upon database query results by means of contextual ranking functions with c