Art

J-GLOBAL ID：201402204766459664   Reference number：14A1500203

Toward Eye Movement Recognition in the Large using Electrooculography

眼電位を用いたみんなのための眼球運動認識

Author (3)： ISHIMARU SHOYA (大阪府大 大学院工学研究科) ,  KUNZE Kai (大阪府大 大学院工学研究科) ,  KISE KOICHI (大阪府大 大学院工学研究科)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 114  Issue： 230(PRMU2014 54-64)  Page： 45-48  Publication year： Oct. 02, 2014 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： mobile computing ,...
Semi thesaurus term： wearable computing ,...

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JST classification (2)： Biometry  (EL03020C) ,  Pattern recognition  (JE07000S)

Reference (14)：

• S. Ishimaru, K. Kunze, K. Kise, and M. Inami, ”Position paper: Brain teasers - toward wearable computing that engages our mind,” Proceedings of UbiComp'14 Adjunct, pp.153-156, 2014.
• K. Kunze, M. Iwamura, K. Kise, S. Uchida, and S. Omachi, ”Activity recognition for the mind: Toward a cognitive ”quantified self',” Computer, vol.45, pp.98-101, 2013.
• A. Bulling, J.A. Ward, H. Gellersen, and G. Tröster, ”Eye movement analysis for activity recognition,” Proceedings of 11th International Conference on Ubiquitous Computing, pp.41-50, 2009.
• P. Casale, O. Pujol, and P. Radeva, ”Human activity recognition from accelerometer data using a wearable device,” Pattern Recognition and Image Analysis, pp.289-296, Springer, 2011.
• G.M. Weiss and J.W. Lockhart, ”The impact of personalization on smartphone-based activity recognition,” AAAI Workshop on Activity Context Representation: Techniques and Languages, 2012.

Terms in the title (3)： 眼 ,  電位 ,  眼球運動