Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/12891
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGentile, V-
dc.contributor.authorSorce, S-
dc.contributor.authorMalizia, A-
dc.contributor.authorGentile, A-
dc.date.accessioned2016-07-01T12:06:25Z-
dc.date.available2016-04-01-
dc.date.available2016-07-01T12:06:25Z-
dc.date.issued2016-
dc.identifier.citationMondo Digitale, 15(63): pp. 161 - 169, (2016)en_US
dc.identifier.issn1720-898X-
dc.identifier.urihttp://mondodigitale.aicanet.net/2016-2/articoli/02_Riconoscimento_di_gesti_mediante_dispositivi_a_basso_costo.pdf-
dc.identifier.urihttp://mondodigitale.aicanet.net/ultimo/index.xml-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/12891-
dc.description.abstractIn the last decades, we have witnessed to the increase of the socalled Kinect-like devices, which are based on a set of low-cost sensors to acquire RGB and depth data of a scene. The high accessibility of such devices, mainly in terms of costs, has pushed their adoption as fundamental tool for gesture recognition in a large number of applications, both commercial and research-related ones. In this paper, we first discuss some of the general principles adopted by most of the main gesture recognition techniques described in literature. Then we present some application fields in which Kinect-like devices and gesture recognition algorithms have been used, ranging from educational-recreational examples to more complex and scientific fields (e.g. domotics, robotics and biomedical engineering). In two annexes, we list and shortly compare the main features of the Kinect-like devices available on the market, and we describe one of the most popular algorithm for skeletal tracking, which is the basis for the gesture recognition.en_US
dc.format.extent161 - 169-
dc.language.isoiten_US
dc.publisherAICA - Associazione Italiana per l'Informatica ed il Calcolo Automaticoen_US
dc.subjectGesture recognitionen_US
dc.subjectKinect-like devicesen_US
dc.subjectHuman-computer interactionen_US
dc.subjectTouchless interactionen_US
dc.titleGesture recognition using low-cost devices: Techniques, applications, perspectivesen_US
dc.title.alternativeRiconoscimento di gesti mediante dispositivi a basso costo: tecniche, applicazioni, prospettiveen_US
dc.typeArticleen_US
dc.relation.isPartOfMondo Digitale-
pubs.issue63-
pubs.publication-statusPublished-
pubs.volume15-
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf15.95 MBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.