Automatic construction of gesture network for gesture recognition

Akihiro Mori; Seiichi Uchida; Ryo Kurazume; Rin-Ichiro Taniguchi; Tsutomu Hasegawa

doi:10.1109/TENCON.2010.5686549

Automatic construction of gesture network for gesture recognition

Akihiro Mori, Seiichi Uchida, Ryo Kurazume, Rin-Ichiro Taniguchi, Tsutomu Hasegawa

Real world robotics

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

1 Citation (Scopus)

Abstract

This paper is concerned with automatic construction algorithm for gesture network. Gesture network is a network model of gestures for gesture recognition, especially early recognition and motion prediction. Manual construction of gesture network is inefficient, and thus its automatic construction method is expected; this is because gesture network has to be constructed, whenever target gestures are changed. This paper proposes an automatic construction algorithm for gesture network by logical DP matching. The experiment was conducted for evaluating the performance of the gesture network constructed automatically. The experimental result indicated that the proposed automatic construction algorithm for gesture network can be alternative of manual construction.

Original language	English
Title of host publication	TENCON 2010 - 2010 IEEE Region 10 Conference
Pages	923-928
Number of pages	6
DOIs	https://doi.org/10.1109/TENCON.2010.5686549
Publication status	Published - Dec 1 2010
Event	2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan Duration: Nov 21 2010 → Nov 24 2010

Other

Other	2010 IEEE Region 10 Conference, TENCON 2010
Country/Territory	Japan
City	Fukuoka
Period	11/21/10 → 11/24/10

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Computer Science Applications

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10.1109/TENCON.2010.5686549

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title = "Automatic construction of gesture network for gesture recognition",

abstract = "This paper is concerned with automatic construction algorithm for gesture network. Gesture network is a network model of gestures for gesture recognition, especially early recognition and motion prediction. Manual construction of gesture network is inefficient, and thus its automatic construction method is expected; this is because gesture network has to be constructed, whenever target gestures are changed. This paper proposes an automatic construction algorithm for gesture network by logical DP matching. The experiment was conducted for evaluating the performance of the gesture network constructed automatically. The experimental result indicated that the proposed automatic construction algorithm for gesture network can be alternative of manual construction.",

author = "Akihiro Mori and Seiichi Uchida and Ryo Kurazume and Rin-Ichiro Taniguchi and Tsutomu Hasegawa",

year = "2010",

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doi = "10.1109/TENCON.2010.5686549",

language = "English",

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note = "2010 IEEE Region 10 Conference, TENCON 2010 ; Conference date: 21-11-2010 Through 24-11-2010",

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T1 - Automatic construction of gesture network for gesture recognition

AU - Mori, Akihiro

AU - Uchida, Seiichi

AU - Kurazume, Ryo

AU - Taniguchi, Rin-Ichiro

AU - Hasegawa, Tsutomu

PY - 2010/12/1

Y1 - 2010/12/1

N2 - This paper is concerned with automatic construction algorithm for gesture network. Gesture network is a network model of gestures for gesture recognition, especially early recognition and motion prediction. Manual construction of gesture network is inefficient, and thus its automatic construction method is expected; this is because gesture network has to be constructed, whenever target gestures are changed. This paper proposes an automatic construction algorithm for gesture network by logical DP matching. The experiment was conducted for evaluating the performance of the gesture network constructed automatically. The experimental result indicated that the proposed automatic construction algorithm for gesture network can be alternative of manual construction.

AB - This paper is concerned with automatic construction algorithm for gesture network. Gesture network is a network model of gestures for gesture recognition, especially early recognition and motion prediction. Manual construction of gesture network is inefficient, and thus its automatic construction method is expected; this is because gesture network has to be constructed, whenever target gestures are changed. This paper proposes an automatic construction algorithm for gesture network by logical DP matching. The experiment was conducted for evaluating the performance of the gesture network constructed automatically. The experimental result indicated that the proposed automatic construction algorithm for gesture network can be alternative of manual construction.

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U2 - 10.1109/TENCON.2010.5686549

DO - 10.1109/TENCON.2010.5686549

M3 - Conference contribution

AN - SCOPUS:79951628187

SN - 9781424468904

SP - 923

EP - 928

BT - TENCON 2010 - 2010 IEEE Region 10 Conference

T2 - 2010 IEEE Region 10 Conference, TENCON 2010

Y2 - 21 November 2010 through 24 November 2010

ER -

Automatic construction of gesture network for gesture recognition

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