Titlebook: User-Centric Technologies and Applications; Proceedings of the C José M. Molina,José Ramón Casar Corredera,Ana M. B Conference proceedings

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Physical Actions Architecture: Context-Aware Activity Recognition in Mobile Devices,taken by users such us walking, running, being stand, sitting. Sensory data is collected by a mobile application made in Android and it sends to a server where prelearnt activities are recognized in real-time.

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Automatically Updating a Dynamic Region Connection Calculus for Topological Reasoning,ioritize the optimization using a dynamic data structure of spatial data. The ultimate goal of this architecture is the automatic storage of the spatial relationships without a noticeable loss of efficiency.

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Integrating Multicamera Surveillance Systems into Multiagent Location Systems,s. This paper presents this issue from the point of view of an existing multicamera surveillance system which requires to be integrated into a multiagent positioning system, including a tracking example with the presented architecture.

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Evaluating Manifold Learning Methods and Discriminative Sequence Classifiers in View-Invariant Acties are used to train a hidden conditional random field for action classification. The system is evaluated using sequences captured by a camera not used during training. The accuracy of the system is measured using the IXMAS dataset on the experiments.

招惹

Integrating Multicamera Surveillance Systems into Multiagent Location Systems,e are a wide number of possible solutions to deal with the positioning issue, which, for different situations, may have different accuracy requirements. This paper presents this issue from the point of view of an existing multicamera surveillance system which requires to be integrated into a multiag

朴素

Evaluating Manifold Learning Methods and Discriminative Sequence Classifiers in View-Invariant Actilhouette sequences captured from different viewpoints are projected into a low dimensional manifold using Isometric Projections. The projected sequences are used to train a hidden conditional random field for action classification. The system is evaluated using sequences captured by a camera not use

Inoperable

Physical Actions Architecture: Context-Aware Activity Recognition in Mobile Devices,ionize the way to carry out with mobile devices. Another important point is that mobile devices are programmable and they provide a set of embedded sensors, such as accelerometer, digital compass, gyroscope, GPS, microphone, and camera. Activity recognition aims to recognize actions and goals of one

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