Identifying fixations and saccades in eye-tracking protocols
ETRA '00 Proceedings of the 2000 symposium on Eye tracking research & applications
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Analyzing Relative Motion within Groups of Trackable Moving Point Objects
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
Efficient detection of motion patterns in spatio-temporal data sets
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Temporal moving pattern mining for location-based service
Journal of Systems and Software
Mining Frequent Spatio-Temporal Sequential Patterns
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Computing longest duration flocks in trajectory data
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Reporting leadership patterns among trajectories
Proceedings of the 2007 ACM symposium on Applied computing
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
Mobility, Data Mining and Privacy: Geographic Knowledge Discovery
Mobility, Data Mining and Privacy: Geographic Knowledge Discovery
Exploring movement-similarity analysis of moving objects
SIGSPATIAL Special
A taxonomy of collective phenomena
Applied Ontology
The endpoint hypothesis: a topological-cognitive assessment of geographic scale movement patterns
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
A conceptual framework and taxonomy of techniques for analyzing movement
Journal of Visual Languages and Computing
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Trajectory data analysis using complex networks
Proceedings of the 15th Symposium on International Database Engineering & Applications
Frequent route based continuous moving object location- and density prediction on road networks
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Scalable Detection of Spatiotemporal Encounters in Historical Movement Data
Computer Graphics Forum
Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Visualization of vessel movements
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Evaluation of the visibility of vessel movement features in trajectory visualizations
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Detecting movement patterns using Brownian bridges
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Algorithmic and visual analysis of spatiotemporal stops in movement data
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
To approach cylindrical coordinates to represent multivariable spatio-temporal data
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Interpreting pedestrian behaviour by visualising and clustering movement data
W2GIS'13 Proceedings of the 12th international conference on Web and Wireless Geographical Information Systems
Mining group movement patterns
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Algorithms for hotspot computation on trajectory data
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
A visual exploration of mobile phone users, land cover, time, and space
Pervasive and Mobile Computing
Pervasive and Mobile Computing
ST-TrajVis: interacting with trajectory data
BCS-HCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference
Visualizing interchange patterns in massive movement data
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Areview of research that has been carried out on data mining and visual analysis of movement patterns suggests that there is little agreement on the relevant types of movement patterns and only few, isolated definitions of these exist. Since the research interest in this area has recently started to soar. we believe that this is a good time to approach the definition of movement patterns in a more systematic and comprehensive way. This paper intends to contribute to the development of a toolbox of data mining algorithms and visual analytic techniques for movement analysis by developing firstly a conceptual framework for movement behavior of different moving objects and secondly a comprehensive classification and review of movement patterns. We argue that this is indispensable as a basis for the development of pattern recognition and information visualization algorithms that are required to be efficient (i.e. usable on massive data sets), effective (i.e. capable of accurately detecting patterns not artifacts), and as generic as possible (i.e. potentially applicable to different types of movement data). We demonstrate the utilization of our classification by answering the question as to what extent eye tracking data can be seen as a proxy of other types of movement data. We have set up a moderated discussion platform in order to facilitate the further evolution of our proposed classification towards a consolidated taxonomy in a consensus process.