Facial recognition cane for the visually impaired

Simple item page
dc.contributor.authorMajeed, Asim
dc.contributor.authorBaadel, Said
dc.date.accessioned2020-02-23T09:47:02Z
dc.date.available2020-02-23T09:47:02Z
dc.date.copyright2016
dc.date.issued2016
dc.descriptionThis article is not available at CUD collection. The version of scholarly record of this Article is published in Communications in Computer and Information Science (2016), available online at: https://doi.org/10.1007/978-3-319-51064-4_32.en_US
dc.description.abstractThe modern era is accompanied by various traditional mobility aids which help visually impaired to stay independent and enabling them detecting the objects and scanning surroundings. The use of haptic touch, as well as ultrasound, is embedded in today’s smart canes which detect obstacles up to 3 m distance, GPS navigation, informs the user through Bluetooth and earpiece, and guide the visually impaired to direct from one location to another. The evolution of this technology has motivated the integration of inexpensive camera technology within the cane for facial recognition purposes. The concept of developing this intelligent smart cane which would detect obstacles from up to 10 m as well as recognises friends and family faces, was envisioned by students at Birmingham City University. The developments in this product and adopted technologies guide a visually impaired user to detect obstacles and to find an alternative route while at the same time try to recognize any family or friends within the vicinity. These have been reflected in this research paper along with the limitations and wider issues which may come up when adopting the high-tech advances. © Springer International Publishing AG 2016.en_US
dc.identifier.citationMajeed, A., & Baadel, S. (2016). Facial recognition cane for the visually impaired. Communications in Computer and Information Science (Vol. 630). https://doi.org/10.1007/978-3-319-51064-4_32en_US
dc.identifier.isbn9783319510637
dc.identifier.issn18650929
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-319-51064-4_32
dc.identifier.urihttp://hdl.handle.net/20.500.12519/146
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relationAuthors Affiliations: Majeed, A., Birmingham City University and QA Higher Education, Birmingham, United Kingdom; Baadel, S., Canadian University Dubai, Dubai, United Arab Emirates, University of Huddersfield, Huddersfield, United Kingdom
dc.relation.ispartofseriesCommunications in Computer and Information Science;Vol. 630
dc.rightsPermission to reuse the abstract has been secured from Springer Verlag.
dc.rightsPermission to reuse the abstract has been secured from Springer Verlag.
dc.rights.holderCopyright : 2016 Springer International Publishing AG
dc.subjectObject detectionen_US
dc.subjectSustainable developmenten_US
dc.subjectUltrasonic applicationsen_US
dc.subjectAdopted technologyen_US
dc.subjectAlternative routesen_US
dc.subjectCamera technologyen_US
dc.subjectFacial recognitionen_US
dc.subjectVisually impaireden_US
dc.subjectVisually-impaired useren_US
dc.subjectXploRen_US
dc.subjectFace recognitionen_US
dc.titleFacial recognition cane for the visually impaireden_US
dc.typeConference Paperen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Access Instruction 146.pdf
Size:
55.86 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Department of General Education and Language