Hand gesture for taking self portrait

Shaowei Chu*, Jiro Tanaka

*Corresponding author for this work

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

19 Citations (Scopus)

Abstract

We present a new interaction technique enabling user to manipulate digital camera when taking self-portrait pictures. User can control camera's functions such as pan, tilt, and shutter using hand gesture. The preview of camera and GUIs are shown on a large display. We developed two interaction techniques. First one is a hover button that triggers camera's shutter. Second one is cross motion interface that controls pan and tilt. In this paper, we explain algorithms in detailed manner and show the preliminary experiment for evaluating speed and accuracy of our implementation. Finally, we discuss promising applications using proposed technique.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationInteraction Techniques and Environments - 14th International Conference, HCI International 2011, Proceedings
Pages238-247
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL, United States
Duration: 2011 Jul 92011 Jul 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6762 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Human-Computer Interaction, HCI International 2011
Country/TerritoryUnited States
CityOrlando, FL
Period11/7/911/7/14

Keywords

  • Hand gesture
  • fingertip detection
  • hand detection
  • human computer interaction
  • optical-flow
  • self-portrait
  • skin color

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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