000058510 001__ 58510 000058510 005__ 20170601140244.0 000058510 0247_ $$2doi$$a10.3390/s130911842 000058510 0248_ $$2sideral$$a83245 000058510 037__ $$aART-2013-83245 000058510 041__ $$aeng 000058510 100__ $$0(orcid)0000-0002-0492-6471$$aPalacios, J.M. 000058510 245__ $$aHuman-computer interaction based on hand gestures using RGB-D sensors 000058510 260__ $$c2013 000058510 5060_ $$aAccess copy available to the general public$$fUnrestricted 000058510 5203_ $$aIn this paper we present a new method for hand gesture recognition based on an RGB-D sensor. The proposed approach takes advantage of depth information to cope with the most common problems of traditional video-based hand segmentation methods: cluttered backgrounds and occlusions. The algorithm also uses colour and semantic information to accurately identify any number of hands present in the image. Ten different static hand gestures are recognised, including all different combinations of spread fingers. Additionally, movements of an open hand are followed and 6 dynamic gestures are identified. The main advantage of our approach is the freedom of the user’s hands to be at any position of the image without the need of wearing any specific clothing or additional devices. Besides, the whole method can be executed without any initial training or calibration. Experiments carried out with different users and in different environments prove the accuracy and robustness of the method which, additionally, can be run in real-time. 000058510 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/DPI2012-32100$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2009-08126$$9info:eu-repo/grantAgreement/ES/MINECO/IPT2011-1158-920000 000058510 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000058510 590__ $$a2.048$$b2013 000058510 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b10 / 57 = 0.175$$c2013$$dQ1$$eT1 000058510 591__ $$aCHEMISTRY, ANALYTICAL$$b36 / 75 = 0.48$$c2013$$dQ2$$eT2 000058510 591__ $$aELECTROCHEMISTRY$$b15 / 27 = 0.556$$c2013$$dQ3$$eT2 000058510 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000058510 700__ $$0(orcid)0000-0002-3032-954X$$aSagués, C.$$uUniversidad de Zaragoza 000058510 700__ $$0(orcid)0000-0002-5176-3767$$aMontijano, E. 000058510 700__ $$0(orcid)0000-0003-4609-1254$$aLlorente, S.$$uUniversidad de Zaragoza 000058510 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDepartamento de Informática e Ingeniería de Sistemas$$cIngeniería de Sistemas y Automática 000058510 773__ $$g13, 9 (2013), 11842-11860$$pSensors$$tSENSORS$$x1424-8220 000058510 8564_ $$s784188$$uhttps://zaguan.unizar.es/record/58510/files/texto_completo.pdf$$yVersión publicada 000058510 8564_ $$s82416$$uhttps://zaguan.unizar.es/record/58510/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000058510 909CO $$ooai:zaguan.unizar.es:58510$$particulos$$pdriver 000058510 951__ $$a2017-06-01-13:58:29 000058510 980__ $$aARTICLE