Hash-based early recognition of gesture patterns

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

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)476-482
Number of pages7
JournalArtificial Life and Robotics
Volume17
Issue number3-4
DOIs
Publication statusPublished - Jan 1 2013

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Gestures
Posture
Processing
Databases
Gesture recognition
Research Personnel

All Science Journal Classification (ASJC) codes

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

Cite this

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

In: Artificial Life and Robotics, Vol. 17, No. 3-4, 01.01.2013, p. 476-482.

Research output: Contribution to journalArticle

Ko, Yoshiyasu ; Shimada, Atsushi ; Nagahara, Hajime ; Taniguchi, Rin-Ichiro. / Hash-based early recognition of gesture patterns. In: Artificial Life and Robotics. 2013 ; Vol. 17, No. 3-4. pp. 476-482.
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