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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. Expand
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. Expand
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. Expand
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. Expand
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. Expand
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. Expand
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. Expand
ExposureSense: Integrating daily activities with air quality using mobile participatory sensing
TLDR
ExposureSense is a rich mobile participatory sensing infrastructure that integrates the two independent sensing paradigms and is able to monitor people's daily activities as well to compute a reasonable estimation of pollution exposure in their daily life. Expand
Trajectory Ontologies and Queries
TLDR
This paper presents a meta-analyses of the determinants of infectious disease in eight operation theatres and shows clear patterns in response to antibiotics and in particular the presence of EMTs. Expand
Discovering areas of interest with geo-tagged images and check-ins
TLDR
A density-based clustering method to discover AoI, mainly based on the image densities but also reinforced by the secondary densities from the images' neighboring venues, and a novel joint authority analysis framework to rank AoI. Expand
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