N
Naohiko Kohtake
Researcher at Keio University
Publications - 90
Citations - 535
Naohiko Kohtake is an academic researcher from Keio University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 10, co-authored 75 publications receiving 436 citations.
Papers
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Proceedings ArticleDOI
InfoStick: An Interaction Device for Inter-Appliance Computing
TL;DR: The design and implementation of the InfoStick, a new hand-held interaction device that serves as an "information carrier" for electric appliances, as well as several potential applications using this device.
Journal ArticleDOI
InfoPoint: A Device that Provides a Uniform User Interface to Allow Appliances to Work Together over a Network
TL;DR: InformationPoint provides a unified interface that gives different types of appliances “drag-and-drop”-like behaviour for the transfer of data, and can transfer data from/to non-appliances such as pieces of paper.
Indoor and Outdoor Seamless Positioning using Indoor Messaging System and GPS
TL;DR: A novel seamless positioning system that will meet the needs of emergency where quick and accurate personal location information dramatically makes difference and the application may be extended to commercial activity as well for personal store navi gation.
Book ChapterDOI
u-Photo: interacting with pervasive services using digital still images
Genta Suzuki,Shun Aoki,Takeshi Iwamoto,Daisuke Maruyama,Takuya Koda,Naohiko Kohtake,Kazunori Takashio,Hideyuki Tokuda +7 more
TL;DR: u-Photo is an interactive digital still image including information of pervasive services associated with networked appliances and sensors in pervasive computing environment and U-Photo Tools can generate a u-Photo and provide methods for discovering contextual information about these pervasive services.
Book ChapterDOI
u-Texture: self-organizable universal panels for creating smart surroundings
Naohiko Kohtake,Ryo Ohsawa,Takuro Yonezawa,Yuki Matsukura,Masayuki Iwai,Kazunori Takashio,Hideyuki Tokuda +6 more
TL;DR: This paper introduces a novel way to allow non-expert users to create smart surroundings easily without expert users by developing u-Texture, a self-organizable universal panel that works as a building block.