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A Semantic Labeling of the Environment Based on What People Do

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dc.affiliation.dptoUC3M. Departamento de Ingeniería de Sistemas y Automáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Robótica (Robotics Lab)es
dc.contributor.authorCrespo Herrero, Jonathan
dc.contributor.authorGómez Blázquez, Clara
dc.contributor.authorHernández Silva, Alejandra Carolina
dc.contributor.authorBarber Castaño, Ramón Ignacio
dc.date.accessioned2019-01-14T10:06:35Z
dc.date.available2019-01-14T10:06:35Z
dc.date.issued2017-01-29
dc.description.abstractIn this work, a system is developed for semantic labeling of locations based on what people do. This system is useful for semantic navigation of mobile robots. The system differentiates environments according to what people do in them. Background sound, number of people in a room and amount of movement of those people are items to be considered when trying to tell if people are doing different actions. These data are sampled, and it is assumed that people behave differently and perform different actions. A support vector machine is trained with the obtained samples, and therefore, it allows one to identify the room. Finally, the results are discussed and support the hypothesis that the proposed system can help to semantically label a room.en
dc.description.abstractThe research leading to these results has received funding from the RoboCity2030-III-CMproject (Robótica aplicada a la mejora de la calidad de vida de los ciudadanos. fase III; S2013/MIT-2748), funded by Programas de Actividades I+Den la Comunidad de Madrid and cofunded by Structural Funds of the EU and NAVEGASEAUTOCOGNAVproject (DPI2014-53525-C3-3-R), funded by Ministerio de Economía y Competitividad of Spain.en
dc.description.sponsorshipThe research leading to these results has received funding from the RoboCity2030-III-CMproject (Robótica aplicada a la mejora de la calidad de vida de los ciudadanos. fase III; S2013/MIT-2748), funded by Programas de Actividades I+Den la Comunidad de Madrid and cofunded by Structural Funds of the EU and NAVEGASEAUTOCOGNAVproject (DPI2014-53525-C3-3-R), funded by Ministerio de Economía y Competitividad of Spain.en
dc.format.extent21
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationCrespo,J., Gómez,C., Hernández,A., Barber,R. (2017). A Semantic Labeling of the Environment Based on What People Do. Sensors, 17 (2), 260.en
dc.identifier.doihttps://doi.org/10.3390/s17020260
dc.identifier.issn1424-8220
dc.identifier.publicationissue2
dc.identifier.publicationtitleSensorsen
dc.identifier.publicationvolume17
dc.identifier.urihttps://hdl.handle.net/10016/27880
dc.identifier.uxxiAR/0000019674
dc.language.isoeng
dc.publisherMDPIen
dc.relation.projectIDComunidad de Madrid. S2013/MIT-2748/RoboCity2030-III-CMproject
dc.relation.projectIDGobierno de España. DPI2014-53525-C3-3-R
dc.rights© 2017 by the authors. Licensee MDPI, Basel, Switzerland.
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaRobótica e Informática Industriales
dc.subject.otherSemantic labelingen
dc.subject.otherSemantic navigationen
dc.subject.otherMobile roboticsen
dc.subject.otherDetecting peopleen
dc.subject.otherEnvironment classificationen
dc.subject.otherrange dataen
dc.subject.otherRoboten
dc.subject.otherClassificationen
dc.subject.otherRecognitionen
dc.subject.otherPlacesen
dc.titleA Semantic Labeling of the Environment Based on What People Doen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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