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A close-range gesture interaction with Kinect

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

9 Citations (Scopus)

Abstract

A large number of tracking and gesture recognition algorithms and technologies have been developed in the field of human-computer interactions thanks to the introduction of cameras with depth sensors such as Microsoft's Kinect. Most of the techniques rely on skeleton tracking which is more suitable for distant and full body interaction. This paper presents a new real-time finger-gesture interaction system using Kinect v2 that identifies fingertips and finger gestures that enable the natural user interaction at a close distance. Our contribution also includes various gesture recognition algorithms using two and three fingers such as L-gesture, OK-gesture, Rock-gesture and Scissor-gesture, in addition to full hand and one-finger gestures. We demonstrate the effectiveness of our system through a fruit slicing game and compare the results to the Leap Motion device.
Original languageEnglish
Title of host publicationProceedings of the 1st IEEE International Symposium on Big Data Visual Analytics (BDVA), Hobart, Australia, 22-25 September 2015
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Print)9781467373432
DOIs
Publication statusPublished - 2015
EventIEEE International Symposium on Big Data Visual Analytics -
Duration: 22 Sept 2015 → …

Conference

ConferenceIEEE International Symposium on Big Data Visual Analytics
Period22/09/15 → …

Keywords

  • finger interaction
  • gesture recognition
  • human-computer interaction
  • natural user interaction

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