Tracking and detection of pointing gesture in 3D space

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

doi:10.1109/URAI.2012.6462983

Tracking and detection of pointing gesture in 3D space

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
Pages	234-235
Number of pages	2
DOIs	https://doi.org/10.1109/URAI.2012.6462983
Publication status	Published - 2012 Dec 1
Event	2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012 - Daejeon, Korea, Republic of Duration: 2012 Nov 26 → 2012 Nov 29

Publication series

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

Conference

Conference	2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
Country/Territory	Korea, Republic of
City	Daejeon
Period	12/11/26 → 12/11/29

Keywords

Hidden Markov Model (HMM)
Natural user interface
Pointing gesture

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction

Access to Document

10.1109/URAI.2012.6462983

Cite this

Nor, N. S. M., Trung, N. L., Maeda, Y., & Mizukawa, M. (2012). Tracking and detection of pointing gesture in 3D space. In 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

Tracking and detection of pointing gesture in 3D space. / Nor, Nur Safwati Mohd; Trung, Ngo Lam; Maeda, Yoshio et al.

2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012. 2012. p. 234-235 6462983 (2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nor, NSM, Trung, NL, Maeda, Y & Mizukawa, M 2012, Tracking and detection of pointing gesture in 3D space. in 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012., 6462983, 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012, pp. 234-235, 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012, Daejeon, Korea, Republic of, 12/11/26. https://doi.org/10.1109/URAI.2012.6462983

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abstract = "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.",

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Tracking and detection of pointing gesture in 3D space

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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