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

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Abstract

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.

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Authors and Affiliations

  1. Department of Computer Science, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan

    Shaowei Chu & Jiro Tanaka

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  1. Shaowei Chu
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  2. Jiro Tanaka
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Correspondence to Shaowei Chu.

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Chu, S., Tanaka, J. Design of a motion-based gestural menu-selection interface for a self-portrait camera. Pers Ubiquit Comput 19, 415–424 (2015). https://doi.org/10.1007/s00779-014-0776-1

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  • DOI: https://doi.org/10.1007/s00779-014-0776-1

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