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Hand Detection and Gesture Recognition Using Symmetric Patterns
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-5863-0748
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-3034-6630
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-1400-346X
2016 (English)In: Studies in Computational Intelligence, ISSN 1860-949X, E-ISSN 1860-9503, Vol. 642, 365-375 p.Article in journal (Refereed) 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 %.

Place, publisher, year, edition, pages
Heidelberg: Springer Berlin/Heidelberg, 2016. Vol. 642, 365-375 p.
Keyword [en]
Hand detection, Gesture recognition, Symmetric patterns, Log-spiral codes, Human-robot interaction
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:hh:diva-30576DOI: 10.1007/978-3-319-31277-4_32OAI: oai:DiVA.org:hh-30576DiVA: diva2:914141
Conference
8th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2016), Da Nang, Vietnam, 14–16 March, 2016
Note

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.

Available from: 2016-03-23 Created: 2016-03-23 Last updated: 2016-03-29Bibliographically approved

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CiteExportLink to record
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Citation style
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