Interacting with a self-portrait camera using motion-based hand gestures

Shaowei Chu, Jiro Tanaka

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Taking self-portraits with a digital camera is a popular way to present oneself through photography. Traditional techniques for taking self-portraits, such as use of selftimers or face detection, provide only a modest degree of interaction between the user and camera. In this paper, we present an interaction technique that make novel use of image-processing algorithm to recognize hand motion gestures and provides user a natural way to interact with camera for taking self-portraits. User can perform nature gestures to control essential functions of camera and take self-portraits effectively. Three types of gesture (i.e., waving, eight-direction selection, and circling were identified and applied to develop a gesture user interface for controlling a Digital Single-Lens Reflex (DSLR) camera. Two experiments were conducted to evaluate the usability and performance of the gesture interface. The results confirmed that the usability of the gesture interface is superior to a self-timer and the proposed technique achieved about 80% accurate recognition of motion gestures.

本文言語English
ホスト出版物のタイトル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
出版社Association for Computing Machinery
ページ93-101
ページ数9
ISBN(印刷版)9781450322539
DOI
出版ステータスPublished - 2013 1 1
外部発表はい
イベントJoint 11th Asia Pacific Conference on Computer Human Interaction, APCHI 2013 and the 5th Indian Conference on Human Computer Interaction, India HCI 2013 - Bangalore, India
継続期間: 2013 9 242013 9 27

出版物シリーズ

名前ACM 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

ASJC Scopus subject areas

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

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