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.
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Science Applications
- Management Science and Operations Research