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Semantic trajectories modeling and analysis
TLDR
A survey of the approaches and techniques for constructing trajectories from movement tracks, enriching trajectories with semantic information to enable the desired interpretations of movements, and using data mining to analyze semantic trajectories to extract knowledge about their characteristics.
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Semantic trajectories: Mobility data computation and annotation
TLDR
A semantic model and a computation and annotation platform for developing a semantic approach that progressively transforms the raw mobility data into semantic trajectories enriched with segmentations and annotations is presented.
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Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach
TLDR
This work introduces an activity-sensitive strategy (dubbed A3R) for continuous activity recognition, where the choice of both the accelerometer sampling frequency and the classification features are adapted in real-time, as an individual performs daily lifestyle-based activities.
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Towards Semantic Trajectory Data Analysis: A Conceptual and Computational Approach
TLDR
This doctoral work aims at bringing semantic concepts and statistical computations together for trajectory data analysis, a “conceptual and computational” approach, which involves three major perspectives, i.e. trajectory modelling, trajectory computing, and trajectory pattern discovery.
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A Hybrid Model and Computing Platform for Spatio-semantic Trajectories
TLDR
This paper presents a Hybrid Model and a Computing Platform for developing a semantic overlay - analyzing and transforming raw mobility data (GPS) to meaningful semantic abstractions, starting from raw feeds to semantic trajectories.
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Semantic Trajectories - Computing and Understanding Mobility Data
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SeMiTri: a framework for semantic annotation of heterogeneous trajectories
TLDR
This paper presents SeMiTri - the framework that enables annotating trajectories for any kind of moving objects, and has been evaluated using many GPS datasets from multiple sources -- including both fast moving objects and people's trajectories.
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TIPS: context-aware implicit user identification using touch screen in uncontrolled environments
TLDR
This work presents TIPS, a Touch based Identity Protection Service that implicitly and unobtrusively authenticates users in the background by continuously analyzing touch screen gestures in the context of a running application.
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Deriving Semantic Sensor Metadata from Raw Measurements
TLDR
A novel approach of characterization and extraction of semantic metadata through the analysis of sensor data raw observations is proposed, using approximations to represent the raw sensor measurements, and building a classification scheme to automatically infer sensor metadata like the type of observed property.
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Trajectory Ontologies and Queries
TLDR
A framework for a semantics‐oriented structuring, modeling and querying of trajectory data based on the definition of trajectory‐related ontologies, addressing domain‐independent and application‐specific geometric and semantic facets is described.
View on Wiley
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