An app based on cooperative learning for the detection of danger points and the prevention of risk areas in a city

Anccasi Figueroa, G. P.; Torres Chana, J. W.; García-Peñalvo, F. J.; Pérez Vizcarra, A. A.

Please use this identifier to cite or link to this item: http://repositorio.grial.eu/handle/grial/1806

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DC Field	Value	Language
dc.contributor.author	Pérez Vizcarra, A. A.	-
dc.contributor.author	Anccasi Figueroa, G. P.	-
dc.contributor.author	Torres Chana, J. W.	-
dc.contributor.author	García-Peñalvo, F. J.	-
dc.date.accessioned	2019-11-19T10:43:23Z	-
dc.date.available	2019-11-19T10:43:23Z	-
dc.date.issued	2019-10-16	-
dc.identifier.citation	A. A. Pérez Vizcarra, G. P. Anccasi Figueroa, J. W. Torres Chana and F. J. García-Peñalvo, "An app based on cooperative learning for the detection of danger points and the prevention of risk areas in a city," in TEEM’19 Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality (Leon, Spain, October 16th-18th, 2019), M. Á. Conde-González, F. J. Rodríguez-Sedano, C. Fernández-Llamas and F. J. García-Peñalvo, Eds. ICPS: ACM International Conference Proceedings Series, pp. 830-837, New York, NY, USA: ACM, 2019. doi: 10.1145/3362789.3362929.	en
dc.identifier.isbn	978-1-4503-7191-9	-
dc.identifier.uri	http://repositorio.grial.eu/handle/grial/1806	-
dc.description.abstract	This article gives a general review of the presence of crime in today’s society, its impact in the daily life of the citizens and proposes the use of Safe Paths, a mobile application focused on risk prevention based on social collaboration and cooperative learning to identify dangerous areas and give alerts based on their users’ location and the risks around to them. It also describes some technical aspects of Safe Paths such as its architecture from the MVC approach; the use cases and actors involved in said application and finally shows its graphical user interface.	en
dc.language.iso	en	en
dc.publisher	ACM	en
dc.subject	crime	en
dc.subject	geolocation	en
dc.subject	prevention	en
dc.subject	mobile application	en
dc.subject	crowdsourcing	en
dc.title	An app based on cooperative learning for the detection of danger points and the prevention of risk areas in a city	en
dc.type	Article	en
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