<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-14T14:39:26Z</responseDate><request verb="GetRecord" identifier="oai:gredos.usal.es:10366/134849" metadataPrefix="mods">https://gredos.usal.es/oai/request</request><GetRecord><record><header><identifier>oai:gredos.usal.es:10366/134849</identifier><datestamp>2025-11-24T12:13:09Z</datestamp><setSpec>com_10366_122575</setSpec><setSpec>com_10366_4512</setSpec><setSpec>com_10366_3823</setSpec><setSpec>col_10366_134811</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Alonso Rincón, Ricardo Serafín</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Tapia Martínez, Dante I.</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>García García, Óscar</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Guevara, Fabio</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Pardo, José A.</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Sánchez Martín, Antonio Juan</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Corchado Rodríguez, Juan Manuel</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2017-09-06T09:14:10Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2017-09-06T09:14:10Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2012</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Ambient Intelligence - Software and Applications Advances in Intelligent and Soft Computing. Volumen 153, pp. 11-18.</mods:identifier>
<mods:identifier type="isbn">978-3-642-28782-4 (Print) / 978-3-642-28783-1 (Online)</mods:identifier>
<mods:identifier type="issn">1867-5662 (Print) / 1867-5670 (Online)</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/10366/134849</mods:identifier>
<mods:abstract>Ambient Intelligence (AmI), based on ubiquitous computing, represents the most promising approach between people and technology to solve the challenge of developing strategies that allow the early detection and prevention of problems in automated dependence environments. One of the most influenced areas by AmI-based systems will be security and, more specifically, the protection of people under risk situations, including cases of mistreatment or loss. This will contribute to improve important aspects of the quality of life of these people, specially their safety. This paper describes Guardian, an integral solution designed for improving the protection of mistreated and at-risk people.</mods:abstract>
<mods:language>
<mods:languageTerm>en</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">https://creativecommons.org/licenses/by-nc-nd/3.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Attribution-NonCommercial-NoDerivs 3.0 Unported</mods:accessCondition>
<mods:subject>
<mods:topic>Computer Science</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Guardian: Electronic System Aimed at the Protection of Mistreated and At-risk People</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/conferenceObject</mods:genre>
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