Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/50503

TitleAn orientation method with prediction and anticipation features
Author(s)Novais, Paulo
Neves, José
Satoh, Ken
Oliveira, T.
Ramos, João
KeywordsLocalization system
Orientation system
Speculative computation
Trajectory data mining
Issue date2017
PublisherSociedad Iberoamericana de Inteligencia Artificial (IBERAMIA)
JournalInteligencia Artificial
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.
Abstract(s)Nowadays, 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.
TypeArticle
URIhttp://hdl.handle.net/1822/50503
DOI10.4114/intartif.vol20iss59pp82-95
ISSN1137-3601
e-ISSN1988-3064
Publisher versionhttp://journal.iberamia.org/index.php/intartif/article/view/26
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

Files in This Item:
File Description SizeFormat 
Iberamia 2017.pdf1,75 MBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID