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  1. A500 情報学部/情報学研究科・情報文化学部・情報科学研究科
  2. A500a 雑誌掲載論文
  3. 学術雑誌

A Virtual Button Interface using Fingertip Movements

http://hdl.handle.net/2237/9600
http://hdl.handle.net/2237/9600
ae386cbc-f13f-4262-9939-c84e47c557f1
名前 / ファイル ライセンス アクション
Miyajima_4.pdf Miyajima_4.pdf (540.0 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2008-03-18
タイトル
タイトル A Virtual Button Interface using Fingertip Movements
言語 en
著者 Morimoto, Kazuhiro

× Morimoto, Kazuhiro

WEKO 22523

en Morimoto, Kazuhiro

Search repository
Miyajima, Chiyomi

× Miyajima, Chiyomi

WEKO 22524

en Miyajima, Chiyomi

Search repository
Itou, Katsunobu

× Itou, Katsunobu

WEKO 22525

en Itou, Katsunobu

Search repository
Takeda, Kazuya

× Takeda, Kazuya

WEKO 22526

en Takeda, Kazuya

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 Copyright © 2007 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
抄録
内容記述 This paper presents a virtual push-button interface created by drawing a shape or line in the air with a fingertip. As an example, we develop a four-button interface for entering multi-digit numbers by making pushing gestures within an invisible 2X2 button matrix inside a square drawn by the user. Trajectories of the fingertip movements entering numbers are captured with a 3D position sensor mounted on the tip of the forefinger. Two methods are used for recognizing the gestures of drawing a square and pushing buttons. The first method recognizes the numbers according to the relative positions between the range of the drawn square and pushed points. The second method models normalized fingertip movements with hidden Markov models (HMMs). They are evaluated with four experimental participants, and 92.5 % and 95.4 % recognition rates are obtained, respectively.
言語 en
内容記述タイプ Abstract
出版者
言語 ja
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/ICMLC.2007.4370489
ISBN
関連タイプ isPartOf
識別子タイプ ISBN
関連識別子 978-1-4244-0973-0
書誌情報 en : Proceedings of the Sixth International Conference on Machine Learning and Cybernetics

巻 4, p. 2089-2093, 発行日 2007
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/9600
識別子タイプ HDL
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