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Fall detection based on local peaks and machine learning

dc.contributor.authorVillar Flecha, José Ramón 
dc.contributor.authorVillar, Mario
dc.contributor.authorFáñez, Mirko
dc.contributor.authorCal Marín, Enrique Antonio de la 
dc.contributor.authorSedano, Javier
dc.date.accessioned2021-02-19T12:37:08Z
dc.date.available2021-02-19T12:37:08Z
dc.date.issued2021
dc.identifier.citationVillar J.R., Villar M., Fañez M., Cal E. de la, Sedano J. (2021) Fall detection based on local peaks and machine learning. En Cal E. de la, Villar Flecha J.R., Quintián H., Corchado E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2020
dc.identifier.isbn978-3-030-57801-5
dc.identifier.urihttp://hdl.handle.net/10651/57979
dc.descriptionInternational Conference Hybrid Artificial Intelligent Systems. HAIS 2020 (15th. 2020. Gijón, Spain)
dc.description.sponsorshipThis research has been funded partially by Spanish Ministry of Economy, Industry and Competitiveness (MINECO) under grant TIN2017-84804-R and by Foundation for the Promotion of Applied Scientific Research and Technology in Asturias, under grant FC-GRUPIN-IDI2018000226.spa
dc.format.extentp. 631-643
dc.language.isoengspa
dc.publisherSpringerspa
dc.relation.ispartofHybrid Artificial Intelligent Systems. 15th International Conference, HAIS 2020, Gijón, Spain, November 11-13, 2020, Proceedings
dc.relation.ispartofseriesLecture Notes in Computer Science; 12344
dc.rights© 2020 Springer Nature Switzerland AG. Part of Springer Nature.
dc.titleFall detection based on local peaks and machine learningspa
dc.typebook partspa
dc.identifier.doi10.1007/978-3-030-61705-9_52
dc.relation.projectIDMINECO/TIN2017-84804-Rspa
dc.relation.projectIDFC-GRUPIN-IDI2018000226spa
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-030-61705-9_52spa
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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