Tracking and detection of pointing gesture in 3D space

Nur Safwati Mohd Nor, Ngo Lam Trung, Yoshio Maeda, Makoto Mizukawa

研究成果: Conference contribution

4 引用 (Scopus)

抜粋

In this paper, we discuss pointing gesture estimation in the context of Human Robot Interaction (HRI). Pointing gesture provides and utilizes information in Kukanchi (Interactive Human Space Design and Intelligence) more natural than other conservative method like keyboard or mouse. Therefore, we design a user interface adopting pointing gesture to manipulate objects and robot naturally in 3D space. Initially, human posture is tracked. Later, the information is used to detect the dynamic pointing gesture using our proposed method which is Hidden Markov Model (HMM). Preliminary experiment shows the average angular error of pointing direction is less than seven degrees.

元の言語English
ホスト出版物のタイトル2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
ページ234-235
ページ数2
DOI
出版物ステータスPublished - 2012 12 1
イベント2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012 - Daejeon, Korea, Republic of
継続期間: 2012 11 262012 11 29

出版物シリーズ

名前2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012

Conference

Conference2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
Korea, Republic of
Daejeon
期間12/11/2612/11/29

    フィンガープリント

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

これを引用

Nor, N. S. M., Trung, N. L., Maeda, Y., & Mizukawa, M. (2012). Tracking and detection of pointing gesture in 3D space. : 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012 (pp. 234-235). [6462983] (2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012). https://doi.org/10.1109/URAI.2012.6462983