Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/50503

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dc.contributor.authorNovais, Paulopor
dc.contributor.authorNeves, Josépor
dc.contributor.authorSatoh, Kenpor
dc.contributor.authorOliveira, T.por
dc.contributor.authorRamos, Joãopor
dc.date.accessioned2018-02-15T11:40:23Z-
dc.date.available2018-02-15T11:40:23Z-
dc.date.issued2017-
dc.identifier.citationRamos J., Oliveira T., Satoh K., Neves J., Novais P., An Orientation Method with Prediction and Anticipation Features, Inteligencia Artificial, Vol. 20, nº 59, ISSN 1137-3601, pp 82-95, 2017. https://doi.org/10.4114/intartif.vol20iss59pp82-95.por
dc.identifier.issn1137-3601-
dc.identifier.urihttps://hdl.handle.net/1822/50503-
dc.description.abstractNowadays, progress is constant and inherent to a living society. This may occur in different arenas, namely in mathematical evaluation and healthcare. Assistive technologies are a topic under this evolution, being extremely important in helping users with diminished capabilities (physical, sensory, intellectual). These technologies assist people in tasks that were difficult or impossible to execute. A common diminished task is orientation, which is crucial for the user autonomy. The adaptation to such technologies should require the minimum effort possible in order to enable the person to use devices that convey assistive functionalities. There are several solutions that help a human being to travel between two different locations, however their authors are essentially concerned with the guidance method, giving special attention to the user interface. The CogHelper system aims to overcome these systems by applying a framework of Speculative Computation, which adds a prediction feature for the next user movement giving an anticipation ability to the system. Thus, an alert is triggered before the user turn towards an incorrect path. The travelling path is also adjusted to the user preferences through a trajectory mining module.por
dc.description.sponsorshipThis work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. The work of João Ramos is supported by a doctoral the FCT grant SFRH/BD/89530/2012. The work of Tiago Oliveira is also supported by the FCT grant with the reference SFRH/BD/85291/2012por
dc.language.isoengpor
dc.publisherSociedad Iberoamericana de Inteligencia Artificial (IBERAMIA)por
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147280/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F89530%2F2012/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F85291%2F2012/PTpor
dc.rightsopenAccesspor
dc.subjectLocalization systempor
dc.subjectOrientation systempor
dc.subjectSpeculative computationpor
dc.subjectTrajectory data miningpor
dc.titleAn orientation method with prediction and anticipation featurespor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://journal.iberamia.org/index.php/intartif/article/view/26por
oaire.citationStartPage82por
oaire.citationEndPage95por
oaire.citationIssue59por
oaire.citationVolume20por
dc.identifier.eissn1988-3064-
dc.identifier.doi10.4114/intartif.vol20iss59pp82-95por
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
sdum.journalInteligencia Artificialpor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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