Design of a motion-based gestural menu-selection interface for a self-portrait camera

Shaowei Chu*, Jiro Tanaka

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Self-portraits allow users to capture memories, create art, and advance their photography skills. However, most existing camera interfaces are limited in that they do not support life-size previews, deviceless remote control, and real-time control over important camera functions. In this paper, we describe a new self-portrait camera system and develop a gesture interface for self-portraits. This self-portrait camera system supports life-size projection of a preview as well as a motion-based gesture system to select menu options to control camera functions including the shutter trigger, aperture size, shutter speed, and color balance. We experimentally evaluated the gesture-recognition accuracy and examined the effectiveness of the system compared with a hand-held remote control. The results suggest that the gesture-based interface is effective for controlling self-portrait camera options and improves the user experience when taking self-portraits. The gesture interface is expected to be useful in developing next-generation self-portrait cameras.

Original languageEnglish
Pages (from-to)415-424
Number of pages10
JournalPersonal and Ubiquitous Computing
Issue number2
Publication statusPublished - 2015 Feb
Externally publishedYes


  • Digital camera
  • Gesture user interface
  • Human computer interaction
  • Image processing
  • Motion gestures

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Science Applications
  • Management Science and Operations Research


Dive into the research topics of 'Design of a motion-based gestural menu-selection interface for a self-portrait camera'. Together they form a unique fingerprint.

Cite this