A novel approach to extract hand gesture feature in depth images

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This paper proposes a novel approach to extract human hand gesture features in real-time from RGB-D images based on the earth mover’s distance and Lasso algorithms. Firstly, hand gestures with hand edge contour are segmented using a contour length information based de-noise method. A modified finger earth mover’s distance algorithm is then applied applied to locate the palm image and extract fingertip features. Lastly and more importantly, a Lasso algorithm is proposed to effectively and efficiently extract the fingertip feature from a hand contour curve. Experimental results are discussed to demonstrate the effectiveness of the proposed approach.
Original languageEnglish
Pages (from-to)11929-11943
Number of pages15
JournalMultimedia Tools and Applications
Issue number19
Early online date2015
Publication statusPublished - Oct 2016


  • RCUK
  • EPRC
  • EP/G041377/1


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