Research Topics
Presented by Takuto YANAGIDA.
Updated: June 10, 2013.
Virtual Displays Using Users' Body Motion
Larger displays can represent larger information, but there is a trade-off between display sizes and portability. Therefore, we developed a system that, using mobile devices, represents virtually a larger display than those of the devices before users' eyes. By comparison with the existing touching operations, our method might be easier to comprehend whole contents presented in displays because the method entails body motion.
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◯Takuto Yanagida, Katsunori Okajima, and Hidenori Mimura:
“Visbye: User-centered virtual display and its application for maps”,
in Technical Report of the Institute of Electronics, Information and Communication Engineers (HCS, Human Communication Science) HCS2013-30, Vol. 113, No. 72, pp. 219-222, Naha, Japan, May 30-31, 2013 (in Japanese).
Image Processing Based on Artificial Intelligence (AI)
The color schemes of information representation are used in, e.g., maps and figures, and they carry the aspect of art design and the aspect of media. That makes any color scheme adjustments difficult, especially when considering people with color vision deficiencies. Therefore, we formulate the color scheme adjustment as a fuzzy constraint satisfaction problem, a framework in the field of AI.
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◯Takuto Yanagida, Katsunori Okajima, and Hidenori Mimura:
“Automatic Re-Coloring Tool Based on PCCS”,
in HCG Symposium 2012, Kumamoto, Japan, December 10-12, 2012 (in Japanese).
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◯Takuto Yanagida, Katsunori Okajima, and Hidenori Mimura:
“Color Scheme Adjustment with Categorical Perception for Three Types of Color Vision Deficiency”,
in Technical Report of the Institute of Electronics, Information and Communication Engineers (ITS, Image Engineering) ITS2010-65, IE2010-140, Vol. 110, No. 420, pp. 275-280, Sapporo, Japan, Feburuary 21-22, 2011 (in Japanese).
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Takuto Yanagida, Katsunori Okajima, and Hidenori Mimura:
“Color Scheme Adjustment by Fuzzy Constraint Satisfaction for Three Types of Color Vision Deficiency”,
Transactions of the Japanese Society for Artificial Intelligence, Vol. 26, No. 5, pp. 518-526, 2011 (in Japanese).
Analyzing and Visualizing Biological Information
From the viewpoint of UI, I work on the physiological information visualization for automatic analization and facilitation of diagnosis by doctors. Recently, handling electrocardiogram (ECG) and plethysmogram (PTG) obtained from healthy people as physiological data, I have developed a detection algorithm of their feature points. I am now developping an efficient visualization tool of these data aiming at reduction of doctors' cost when detecting abnormality from long-term obtainded data.
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◯Takuto Yanagida, Yoshimitsu Okita, Harunobu Nakamura, Toshifumi Sugiura, and Hidenori Mimura:
“Sonification of Data as Music---Drum Play Based on Electrocardiogram---”,
in The Japanese Society for Artificial Intelligence, SIG-AM, the 2nd Meeting, Yokohama, Japan, November 16, 2012 (in Japanese).
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◯Takuto Yanagida, Yoshimitsu Okita, Harunobu Nakamura, Katsuyasu Kouda, Toshifumi Sugiura, and Hidenori Mimura:
“Heart Beat Drum: Sonification of Electrocardiogram for Mibyou Diagnosis”,
in Technical Report of the Institute of Electronics, Information and Communication Engineers (HIP, Human Information Processing) HCS2012-8, HIP2012-8, Vol. 112, No. 45, pp. 43-46, Naha, Japan, May 22-23, 2012 (in Japanese).
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Takuto Yanagida, Yoshimitsu Okita, Harunobu Nakamura, Katsuyasu Kouda, Toshifumi Sugiura, and Hidenori Mimura:
“Development of Software with Tailored User Interfaces for Brief Assessment of Autonomous Nervous System Activities”,
The Journal of Japan Mibyou System Association, Vol. 18, No. 1, pp. 85-89, 2012 (presented paper, in Japanese).
Image Processing of X-Ray CT
As work of image processing, I work on the issue of image reconstruction of X-ray CT. Moreover, as a research of UIs, I am planning to research the representation of reconstructed images containing high dimensional information, how to present such images effectively for users.
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Yukino Imura, Takuto Yanagida, Hisashi Morii, Hidenori Mimura, and Toru Aoki:
“Reduction of the Beam Hardening Artifacts in the X-Ray Computer Tomography: Energy Discrimination with a Photon-Counting Detector”,
World Journal of Nuclear Science and Technology, Vol. 2, No. 4, pp. 169-173, October, 2012.
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◯Yukino Imura, Takuto Yanagida, Yoichiro Neo, Hidenori Mimura, and Toru Aoki:
“Artifact Reduction Method Referring to a Higher Energy CT Image”,
in Proceedings of the 73st Fall Meeting of the Japan Society of Applied Physics (JSAP), Matsuyama, Japan, September 11-14, 2012 (in Japanese).