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Hand Detection and Gesture Recognition Using Symmetric Patterns
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID-id: 0000-0002-5863-0748
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID-id: 0000-0002-3034-6630
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID-id: 0000-0002-1400-346X
2016 (engelsk)Inngår i: Studies in Computational Intelligence, ISSN 1860-949X, E-ISSN 1860-9503, Vol. 642, s. 365-375Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Hand detection and gesture recognition is one of the challenging issues in human-robot interaction. In this paper we proposed a novel method to detect human hands and recognize gestures from video stream by utilizing a family of symmetric patterns: log-spiral codes. In this case, several log-family spirals mounted on a hand glove were extracted and utilized for positioning the palm and fingers. The proposed method can be applied in real time and even on a low quality camera stream. The experiments are implemented in different conditions to evaluatethe illumination, scale, and rotation invariance of the proposed method. The results show that using the proposed technique we can have a precise and reliable detection and tracking of the hand and fingers with accuracy about 98 %.

sted, utgiver, år, opplag, sider
Heidelberg: Springer Berlin/Heidelberg, 2016. Vol. 642, s. 365-375
Emneord [en]
Hand detection, Gesture recognition, Symmetric patterns, Log-spiral codes, Human-robot interaction
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-30576DOI: 10.1007/978-3-319-31277-4_32ISI: 000390824900032Scopus ID: 2-s2.0-84966539110OAI: oai:DiVA.org:hh-30576DiVA, id: diva2:914141
Konferanse
8th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2016), Da Nang, Vietnam, 14–16 March, 2016
Merknad

ISBN: 978-3-319-31276-7 (Print) 978-3-319-31277-4 (Online). Source Type: Book series. Book Title: Recent Developments in Intelligent Information and Database Systems. Volume Editors: Dariusz Król, Lech Madeyski & Ngoc Thanh Nguyen.

Tilgjengelig fra: 2016-03-23 Laget: 2016-03-23 Sist oppdatert: 2019-11-25bibliografisk kontrollert

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