Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/25316
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dc.contributor.authorAttard, Judie-
dc.contributor.authorMontebello, Matthew-
dc.contributor.authorDebattista, Jeremy-
dc.date.accessioned2018-01-03T13:40:53Z-
dc.date.available2018-01-03T13:40:53Z-
dc.date.issued2012-
dc.identifier.citationAttard, J., Montebello, M., & Debattista, J. (2012). White Cane device: a mobile assistant for visually challenged people. 2012 Mobile Learning Conference, Berlin. 43-50.en_GB
dc.identifier.isbn9789728939663-
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/25316-
dc.description.abstractThe goal of this study is to exploit the portability and availability of mobile phones to provide a means of guidance to the visually impaired while travelling. This system assists a visually impaired person while travelling through the city by implementing image recognition through a mobile phone and offering information of the immediate vicinity. The ‘White Cane Device’ being proposed enables the user to capture a picture, and receives back information about the surroundings. The White Cane Device was implemented in a client-server architecture, where the client acts as a peripheral device, and the server implements the SIFT feature extraction algorithm to perform object recognition. The GPS coordinates of the images are used to optimize the latter process. A thorough evaluation of the proposed system gave exciting results and showed that White Cane Device performs reliable matching even when images contain occlusion or are taken from various perspectives. The tested system returned results within more than acceptable time spans and received positive feedback from the usability evaluations held.en_GB
dc.language.isoenen_GB
dc.publisherIADISen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectPeople with visual disabilitiesen_GB
dc.subjectArtificial intelligenceen_GB
dc.subjectMobile communication systemsen_GB
dc.titleWhite Cane device : a mobile assistant for visually challenged peopleen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename2012 Mobile Learning Conferenceen_GB
dc.bibliographicCitation.conferenceplaceBerlin, Germany, 2012en_GB
dc.description.reviewedpeer-revieweden_GB
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