Where have you been today? Annotating trajectories with DayTag

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8098 LNCS, Issue , 2013, Pages 467-471

  Rinzivillo, Salvatore ^a   De Lucca Siqueira, Fernando ^b   Gabrielli, Lorenzo ^a   Renso, Chiara ^a   Bogorny, Vania ^b  

^a ISTI CNR   (Italy)

^b FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

GPS TRACKS; HUMAN MOBILITY; MANUAL ANNOTATION; PERSONAL ASSISTANTS; POINT OF VIEWS; SPATIO-TEMPORAL; TEMPORAL PRECISION;

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE;

BEHAVIORAL RESEARCH;

EID: 84881260352     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40235-7_30     Document Type: Conference Paper

References (6)

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2. Broll, G., Cao, H., Ebben, P., Holleis, P., Jacobs, K., Koolwaaij, J., Luther, M., Souville, B.: Tripzoom: an app to improve your mobility behavior. In: Proc. of the 11th Int. Conf. on Mobile and Ubiquitous Multimedia, pp. 57:1-57:4 (2012)
3. Doulamis, A., Pelekis, N., Theodoridis, Y.: Easytracker: An android application for capturing mobility behavior. In: Panhellenic Conference on Informatics (2012)
4. The Open Source Geospatial Foundation. PostGIS, http://postgis.net/
5. Tietbohl Palma, A., Bogorny, V., Kuijpers, B., Alvares, L.O.: A clustering-based approach for discovering interesting places in trajectories. In: SAC (2008)
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