電気学会 電子図書館
 HOME > 同研究会の論文誌(論文単位) > 文献詳細
Extended Summaryはついていません。

・会員価格 ¥550
・一般価格 ¥770
こちらはBookPark「電気学会 電子図書館(IEEJ Electronic Library)」による文献紹介ページです。
非会員の方はログインの必要はありません。このまま お進みください。
■ページ数 7ページ

スマートフォン内蔵カメラを用いたEye Glance入力インタフェースの検討


A Proposal of Eye Glance Input Interface using Smartphone Built-in Camera

■著者名 雑賀 友(電気通信大学),水野 統太(電気通信大学),松本 悠佑(電気通信大学),水戸 和幸(電気通信大学),板倉 直明(電気通信大学)
■著者名(英語) Yu Saiga (The University of Electro-Communication), Tota Mizuno (The University of Electro-Communication), Yu Matsumoto (The University of Electro-Communication), Kazuyuki Mito (The University of Electro-Communication), Naoaki Itakura (The University of Electro-Communication)
■価格 会員 ¥550 一般 ¥770
■書籍種類 論文誌(論文単位)
■グループ名 【A】基礎・材料・共通部門
■本誌 電気学会論文誌A(基礎・材料・共通部門誌) Vol.141 No.12 (2021)
■本誌掲載ページ 650-656ページ
■原稿種別 論文/日本語
■電子版へのリンク https://www.jstage.jst.go.jp/article/ieejfms/141/12/141_650/_article/-char/ja/
■キーワード 視線入力,入力インタフェース  line-of-sight input,input interface
■要約(英語) The purpose of this study is to develop a line-of-sight input interface using the eye-glance input method, which uses a glance eye movement and method of estimating the eye-control movement by analyzing the image of the area near the eye-ball. The motion was discriminated by taking an image using the built-in camera of a smartphone to rapidly look at the four corners of the smartphone and calculate the moving distance of the eyeball, which was divided into horizontal and vertical components using the optical flow function in Open CV library. In the experiment, we obtained data by asking the subjects to look at the reciprocate of quick gaze movements at each of the four corners and the center of the screen. As a result of data analysis, characteristics of waveforms were obtained for the movements looking at the four corners, and we could determine which of the four corners the users were looking at. Furthermore, by distinguishing between camera shake and line-of-sight movement using the variance value, the discrimination rate was 90% or more even when held in the hand. It was shown that the Eye Glance movement can be measured with a smartphone as well as a PC.
■版 型 A4
©Contents Works Inc.