Facial recognition cane for the visually impaired

dc.contributor.author Majeed, Asim
dc.contributor.author Baadel, Said
dc.date.accessioned 2020-02-23T09:47:02Z
dc.date.available 2020-02-23T09:47:02Z
dc.date.copyright 2016
dc.date.issued 2016
dc.description This 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.abstract The 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.citation Majeed, 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_32 en_US
dc.identifier.isbn 9783319510637
dc.identifier.issn 18650929
dc.identifier.uri http://dx.doi.org/10.1007/978-3-319-51064-4_32
dc.identifier.uri http://hdl.handle.net/20.500.12519/146
dc.language.iso en en_US
dc.publisher Springer Verlag en_US
dc.relation Authors 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.ispartofseries Communications in Computer and Information Science;Vol. 630
dc.rights Permission to reuse the abstract has been secured from Springer Verlag.
dc.rights Permission to reuse the abstract has been secured from Springer Verlag.
dc.rights.holder Copyright : 2016 Springer International Publishing AG
dc.subject Object detection en_US
dc.subject Sustainable development en_US
dc.subject Ultrasonic applications en_US
dc.subject Adopted technology en_US
dc.subject Alternative routes en_US
dc.subject Camera technology en_US
dc.subject Facial recognition en_US
dc.subject Visually impaired en_US
dc.subject Visually-impaired user en_US
dc.subject XploR en_US
dc.subject Face recognition en_US
dc.title Facial recognition cane for the visually impaired en_US
dc.type Conference Paper en_US
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