Real-time gesture recognition with finger naming by RGB camera and IR depth sensor

Phonpatchara Chochai, Thanapat Mekrungroj, Takafumi Matsumaru

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper introduces the real-time fingers naming method then illustrates how hand languages could be recognized by hand gesture and relation between fingertips. Moreover, this paper provides information on how to calculate and name each finger then using arm for dynamically adjust and improve the stability while the hand is moving. Supported by the study of relation between fingertips, palms, and arms, this proposed method can recognize hand gesture and translate these signs into numbers according to the standard sign language. The approach using in this paper relies on the image depth and the RGB image to identify hands, arms and fingertips. Then, the relation between each part is used to recognize a finger name regardless of the different direction of movement. Also, this report describes how to implement the proposed method into the ASUS Xtion as a sensor.

本文言語English
ホスト出版物のタイトル2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ931-936
ページ数6
ISBN(印刷版)9781479973965
DOI
出版ステータスPublished - 2014 4 20
外部発表はい
イベント2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014 - Bali, Indonesia
継続期間: 2014 12 52014 12 10

Other

Other2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
国/地域Indonesia
CityBali
Period14/12/514/12/10

ASJC Scopus subject areas

  • バイオテクノロジー
  • 人工知能
  • 人間とコンピュータの相互作用

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