Finger identification and hand gesture recognition techniques for natural user interface

Unseok Lee, Jiro Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

The natural user interface using hand gesture have been popular field in Human-Computer-Interaction(HCI). Many research papers have been proposed in this field. They proposed vision-based, glove-based and depth-based approach for hand gesture recognition. However, hand gesture itself is simple and not natural way to interact. In otherwise, hand gesture recognition using finger tracking and identification can be implemented more robust and subtle recognition. Recently, new horizons are open with the development of sensors and technology such as Kinect and Depth-Sense. This development has made possible robust recognition, like finger identification and hand gesture recognition in bad conditions such as dark light and rough background as well. In this paper, we proposed a new finger identification and hand gesture recognition techniques with kinect depth data. Our proposed finger identification and gesture recognition methods provide natural interactions and interface by using fingers. We implemented interfaces and designed hand gestures using this method. This paper explains finger identification method and hand gesture recognition in detail. We show the preliminary experiment for evaluating accuracy of finger identification and hand gesture recognition accuracy. Finally, we discuss the result of evaluation and our contributions.

Original languageEnglish
Title of host publicationAPCHI 2013 / India HCI 2013 - Joint Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction and the 5th Indian Conference on Human Computer Interaction
PublisherAssociation for Computing Machinery
Pages274-279
Number of pages6
ISBN (Print)9781450322539
DOIs
Publication statusPublished - 2013 Jan 1
Externally publishedYes
EventJoint 11th Asia Pacific Conference on Computer Human Interaction, APCHI 2013 and the 5th Indian Conference on Human Computer Interaction, India HCI 2013 - Bangalore, India
Duration: 2013 Sep 242013 Sep 27

Publication series

NameACM International Conference Proceeding Series

Other

OtherJoint 11th Asia Pacific Conference on Computer Human Interaction, APCHI 2013 and the 5th Indian Conference on Human Computer Interaction, India HCI 2013
CountryIndia
CityBangalore
Period13/9/2413/9/27

Keywords

  • Finger identification
  • Finger tracking
  • Hand gesture recognition
  • Human computer interaction
  • Kinect
  • Natural user interface

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Finger identification and hand gesture recognition techniques for natural user interface'. Together they form a unique fingerprint.

  • Cite this

    Lee, U., & Tanaka, J. (2013). Finger identification and hand gesture recognition techniques for natural user interface. In APCHI 2013 / India HCI 2013 - Joint Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction and the 5th Indian Conference on Human Computer Interaction (pp. 274-279). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/2525194.2525296