Human-computer interaction based on hand gestures using RGB-D sensors
Resumen: In 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.
Idioma: Inglés
DOI: 10.3390/s130911842
Año: 2013
Publicado en: SENSORS 13, 9 (2013), 11842-11860
ISSN: 1424-8220

Factor impacto JCR: 2.048 (2013)
Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 10 / 57 = 0.175 (2013) - Q1 - T1
Categ. JCR: CHEMISTRY, ANALYTICAL rank: 36 / 75 = 0.48 (2013) - Q2 - T2
Categ. JCR: ELECTROCHEMISTRY rank: 15 / 27 = 0.556 (2013) - Q3 - T2

Factor impacto SCIMAGO:

Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2012-32100
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2009-08126
Financiación: info:eu-repo/grantAgreement/ES/MINECO/IPT2011-1158-920000
Tipo y forma: Article (Published version)
Área (Departamento): Ingeniería de Sistemas y Automática (Departamento de Informática e Ingeniería de Sistemas)

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Articles > Artículos por área > Ingeniería de Sistemas y Automática

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