Hash-based early recognition of gesture patterns

Yoshiyasu Ko, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi

研究成果: ジャーナルへの寄稿記事

2 引用 (Scopus)

抄録

In these days, "early recognition" of gesture patterns has been studied by many researchers. Early recognition is a method to make a decision of gesture recognition at the beginning part of it. In traditional method, the key postures for a gesture are utilized for recognition and early recognition is performed frame-by-frame. However, this method has a problem that computational time in recognition processing increases in proportion to size of posture database. If the processing time becomes longer, some input frames will be ignored from the processing. It results in lower recognition accuracy. In this paper, we introduce a hash-based approach to search the posture database. It realizes real-time processing, and keep high performance of recognition.

元の言語英語
ページ(範囲)476-482
ページ数7
ジャーナルArtificial Life and Robotics
17
発行部数3-4
DOI
出版物ステータス出版済み - 1 1 2013

Fingerprint

Gestures
Posture
Processing
Databases
Gesture recognition
Research Personnel

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence

これを引用

Hash-based early recognition of gesture patterns. / Ko, Yoshiyasu; Shimada, Atsushi; Nagahara, Hajime; Taniguchi, Rin-Ichiro.

:: Artificial Life and Robotics, 巻 17, 番号 3-4, 01.01.2013, p. 476-482.

研究成果: ジャーナルへの寄稿記事

Ko, Yoshiyasu ; Shimada, Atsushi ; Nagahara, Hajime ; Taniguchi, Rin-Ichiro. / Hash-based early recognition of gesture patterns. :: Artificial Life and Robotics. 2013 ; 巻 17, 番号 3-4. pp. 476-482.
@article{fdc48573d5bb4ac480da042cae1a8c78,
title = "Hash-based early recognition of gesture patterns",
abstract = "In these days, {"}early recognition{"} of gesture patterns has been studied by many researchers. Early recognition is a method to make a decision of gesture recognition at the beginning part of it. In traditional method, the key postures for a gesture are utilized for recognition and early recognition is performed frame-by-frame. However, this method has a problem that computational time in recognition processing increases in proportion to size of posture database. If the processing time becomes longer, some input frames will be ignored from the processing. It results in lower recognition accuracy. In this paper, we introduce a hash-based approach to search the posture database. It realizes real-time processing, and keep high performance of recognition.",
author = "Yoshiyasu Ko and Atsushi Shimada and Hajime Nagahara and Rin-Ichiro Taniguchi",
year = "2013",
month = "1",
day = "1",
doi = "10.1007/s10015-012-0085-6",
language = "English",
volume = "17",
pages = "476--482",
journal = "Artificial Life and Robotics",
issn = "1433-5298",
publisher = "Springer Japan",
number = "3-4",

}

TY - JOUR

T1 - Hash-based early recognition of gesture patterns

AU - Ko, Yoshiyasu

AU - Shimada, Atsushi

AU - Nagahara, Hajime

AU - Taniguchi, Rin-Ichiro

PY - 2013/1/1

Y1 - 2013/1/1

N2 - In these days, "early recognition" of gesture patterns has been studied by many researchers. Early recognition is a method to make a decision of gesture recognition at the beginning part of it. In traditional method, the key postures for a gesture are utilized for recognition and early recognition is performed frame-by-frame. However, this method has a problem that computational time in recognition processing increases in proportion to size of posture database. If the processing time becomes longer, some input frames will be ignored from the processing. It results in lower recognition accuracy. In this paper, we introduce a hash-based approach to search the posture database. It realizes real-time processing, and keep high performance of recognition.

AB - In these days, "early recognition" of gesture patterns has been studied by many researchers. Early recognition is a method to make a decision of gesture recognition at the beginning part of it. In traditional method, the key postures for a gesture are utilized for recognition and early recognition is performed frame-by-frame. However, this method has a problem that computational time in recognition processing increases in proportion to size of posture database. If the processing time becomes longer, some input frames will be ignored from the processing. It results in lower recognition accuracy. In this paper, we introduce a hash-based approach to search the posture database. It realizes real-time processing, and keep high performance of recognition.

UR - http://www.scopus.com/inward/record.url?scp=84874206716&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874206716&partnerID=8YFLogxK

U2 - 10.1007/s10015-012-0085-6

DO - 10.1007/s10015-012-0085-6

M3 - Article

VL - 17

SP - 476

EP - 482

JO - Artificial Life and Robotics

JF - Artificial Life and Robotics

SN - 1433-5298

IS - 3-4

ER -