research-article

A semantic event approach to enrich device-free indoor localization data

Authors:

Fano Ramparany,

Grégoire LefebvreAuthors Info & Claims

Goodtechs '18: Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good

Pages 106 - 111

https://doi.org/10.1145/3284869.3284898

Published: 28 November 2018 Publication History

Abstract

Device-free indoor localization technologies can achieve fine-grained localization and have the advantage of being non-intrusive. However, interpreting the low-level data produced by these technologies can be challenging. In this paper, we investigate the application of stream reasoning technologies to enrich and exploit such data. In particular, we are interested in the semantic fusion of events coming from various ambient sensors (door sensors, smart plugs, motion sensors...), including a ceiling-mounted Pyroelectric InfraRed (PIR) sensor array that provides accurate multi-user positioning on a 2D plane. We show how existing stream reasoning technologies can be used to detect complex events, such as the movements and actions of multiple users in a real environment. These events represent useful information which can later be used for human-centered use cases, such as detecting activities or abnormal user behavior.

References

[1]

Marjan Alirezaie, Jennifer Renoux, Uwe Köckemann, Annica Kristoffersson, Lars Karlsson, Eva Blomqvist, Nicolas Tsiftes, Thiemo Voigt, and Amy Loutfi. 2017. An Ontology-Based Context-Aware System for Smart Homes: E-Care@ Home. Sensors 17, 7 (2017), 1586.

[2]

Darko Anicic, Paul Fodor, Sebastian Rudolph, and Nenad Stojanovic. 2011. EP-SPARQL: a unified language for event processing and stream reasoning. In Proceedings of the 20th international conference on World wide web. ACM, 635--644.

Digital Library

[3]

Davide Francesco Barbieri, Daniele Braga, Stefano Ceri, EMANUELE DELLA VALLE, and Michael Grossniklaus. 2010. C-SPARQL: a continuous query language for RDF data streams. International Journal of Semantic Computing 4, 01 (2010), 3--25.

[4]

Michael Compton, Payam Barnaghi, Luis Bermudez, RaúL GarcíA-Castro, Oscar Corcho, Simon Cox, John Graybeal, Manfred Hauswirth, Cory Henson, Arthur Herzog, et al. 2012. The SSN ontology of the W3C semantic sensor network incubator group. Web semantics: science, services and agents on the World Wide Web 17 (2012), 25--32.

Digital Library

[5]

Julien Cumin, Fano Ramparany, Grégoire Lefebvre, and James L. Crowley. 2018. Fusion de Décisions Par Lieu Pour Reconnaître l'Activité Humaine et Sa Prise En Compte Dans La Gestion de Contexte. Modélisation et utilisation du contexte 18, 1 (Jan. 2018).

[6]

Alexander Dejonghe, Femke Ongenae, Stijn Verstichel, and Filip De Turck. 2017. C-GeoSPARQL: Streaming GeoSPARQL Support on C-SPARQL. In Joint Proceedings of the 2nd RDF Stream Processing (RSP 2017) and the Querying the Web of Data (QuWeDa 2017) Workshops Co-Located with 14th ESWC 2017 (ESWC 2017). 1--10.

[7]

Syed Gillani, Antoine Zimmermann, Gauthier Picard, and Frédérique Laforest. 2017. A Query Language for Semantic Complex Event Processing: Syntax, Semantics and Implementation. Semantic web journal (2017).

[8]

Robin Keskisärkkä. 2017. Towards Semantically Enabled Complex Event Processing. Vol. 1782. Linköping University Electronic Press.

[9]

Sefki Kolozali, Maria Bermudez-Edo, Daniel Puschmann, Frieder Ganz, and Payam Barnaghi. 2014. A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing. IEEE, 215--222.

Digital Library

[10]

Danh Le-Phuoc, Hoan Nguyen Mau Quoc, Hung Ngo Quoc, Tuan Tran Nhat, and Manfred Hauswirth. 2016. The Graph of Things: A Step towards the Live Knowledge Graph of Connected Things. Web Semantics: Science, Services and Agents on the World Wide Web 37-38 (March 2016), 25--35.

Digital Library

[11]

Maxime Lefrançois. 2017. Planned ETSI SAREF Extensions Based on the W3C&OGC SOSA/SSN-Compatible SEAS Ontology Patterns. In Proceedings of Workshop on Semantic Interoperability and Standardization in the IoT, SIS-IoT, (Amsterdam, Netherlands).

[12]

Tong Liu, Xiaomu Luo, and Zhuoqian Liang. 2018. Enhanced Sparse Representation-Based Device-Free Localization with Radio Tomography Networks. Journal of Sensor and Actuator Networks 7, 1 (Feb. 2018), 7.

[13]

Roberto Marroquin, Julien Dubois, and Christophe Nicolle. 2018. Ontology for a Panoptes Building: Exploiting Contextual Information and a Smart Camera Network. Semantic Web Journal (2018), 24.

[14]

Alessandra Mileo, Minh Dao-Tran, Thomas Eiter, and Michael Fink. 2017. Stream Reasoning. In Encyclopedia of Database Systems 2017, M. Tamer Ozsu and Ling Liu (Eds.). Encyclopedia of Database Systems, Vol. Volume. Springer-Verlag, New York, USA. http://doras.dcu.ie/21771/

[15]

George Okeyo, Liming Chen, and Hui Wang. 2014. Combining Ontological and Temporal Formalisms for Composite Activity Modelling and Recognition in Smart Homes. Future Generation Computer Systems 39 (Oct. 2014), 29--43.

[16]

Kostas Patroumpas, Elias Alevizos, Alexander Artikis, Marios Vodas, Nikos Pelekis, and Yannis Theodoridis. 2017. Online event recognition from moving vessel trajectories. GeoInformatica 21, 2 (2017), 389--427.

Digital Library

[17]

Jennifer Renoux, Marjan Alizeraie, Lars Karlsson, Uwe Köckemann, Federico Pecora, and Amy Loutfi. 2017. Context Recognition in Multiple Occupants Situations: Detecting the Number of Agents in a Smart Home Environment with Simple Sensors. In Workshop on Knowledge-Based Techniques for Problem Solving and Reasoning (KnowProS'17).

[18]

Chiara Renso, Miriam Baglioni, Jose António F. de Macedo, Roberto Trasarti, and Monica Wachowicz. 2013. How You Move Reveals Who You Are: Understanding Human Behavior by Analyzing Trajectory Data. Knowledge and Information Systems 37, 2 (Nov. 2013), 331--362.

[19]

Daniele Riboni, Linda Pareschi, Laura Radaelli, and Claudio Bettini. 2011. Is ontology-based activity recognition really effective?. In Pervasive Computing and Communications Workshops (PERCOM Workshops), 2011 IEEE International Conference on. IEEE, 427--431.

[20]

Riccardo Tommasini and Emanuele Della Valle. 2017. Yasper 1.0: Towards an RSP-QL Engine. In International Semantic Web Conference (Posters, Demos & Industry Tracks).

[21]

Arnaud Vandecasteele, Rodolphe Devillers, and Aldo Napoli. 2014. From Movement Data to Objects Behavior Using Semantic Trajectory and Semantic Events. Marine Geodesy 37, 2-Special Issue: Special Issue on Coastal and Marine Geographic Information Systems (2014), 126--144.

[22]

Juan Ye, Stamatia Dasiopoulou, Graeme Stevenson, Georgios Meditskos, Efstratios Kontopoulos, Ioannis Kompatsiaris, and Simon Dobson. 2015. Semantic Web Technologies in Pervasive Computing: A Survey and Research Roadmap. Pervasive and Mobile Computing 23 (Oct. 2015), 1--25.

Digital Library

[23]

Josh Jia-Ching Ying, Wang-Chien Lee, Tz-Chiao Weng, and Vincent S Tseng. 2011. Semantic trajectory mining for location prediction. In Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, 34--43.

Digital Library

Cited By

Li JZong BCheng TLi YMynatt EDhekne A(2023)Privacy vs. Awareness: Relieving the Tension between Older Adults and Adult Children When Sharing In-home Activity DataProceedings of the ACM on Human-Computer Interaction10.1145/36102027:CSCW2(1-30)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610202

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A semantic event approach to enrich device-free indoor localization data

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Goodtechs '18: Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good

November 2018

316 pages

ISBN:9781450365819

DOI:10.1145/3284869

General Chairs:
Marco Furini
University of Modena and Reggio Emilia, Italy
,
Silvia Mirri
University of Bologna, Italy
,
Kevin Bouchard
Université du Québec à Chicoutimi, Canada
,
Publications Chair:
Barbara Guidi
University of Pisa, Italy

Copyright © 2018 ACM.

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Published: 28 November 2018

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Goodtechs '18

Goodtechs '18: International Conference on Smart Objects and Technologies for Social Good

November 28 - 30, 2018

Bologna, Italy

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Cited By

Li JZong BCheng TLi YMynatt EDhekne A(2023)Privacy vs. Awareness: Relieving the Tension between Older Adults and Adult Children When Sharing In-home Activity DataProceedings of the ACM on Human-Computer Interaction10.1145/36102027:CSCW2(1-30)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610202

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