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EDBT 2026 Demo / reviewers in the wild / expert

Mitsuho Yamada

dblp:60/8784 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Wearable and physiological sensing · 61% Health and well-being technologies · 30% User interface design and tools · 9%
Computer graphics and multimedia
2 papers
Visualization and visual analytics · 38% Multimedia analysis and retrieval · 38% Image and video processing · 12%

Topics — the 5 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval › multimedia analysis › human-centric multimedia analysis
gaze analysis		 0.412020
Analysis of gaze points when looking at paintings and saliency map to improve the accuracy of ROI (region of interest): demo abstract · SenSys 2020
Visualization and visual analytics
visual attention		 0.412020
Analysis of gaze points when looking at paintings and saliency map to improve the accuracy of ROI (region of interest): demo abstract · SenSys 2020
Wearable and physiological sensing › eye tracking
gaze-based interaction		 0.412020
Proposal of an interest word presentation system when browsing the web using eye movements: demo abstract · SenSys 2020
Multimedia systems and quality of experience › video quality assessment
perceptual video quality		 0.112020
Analysis of healing effects caused by changes in display resolution using biosensors: poster abstract · SenSys 2020
Image and video processing › saliency detection
saliency map		 0.112020
Analysis of gaze points when looking at paintings and saliency map to improve the accuracy of ROI (region of interest): demo abstract · SenSys 2020

Methods — techniques the papers use, named apart from their topics

biosignal analysis · 0.9gaze point and gaze time analysis · 0.4eye-gaze input · 0.4eye tracking · 0.4
YearPublicationVenuePosition
2020 Proposal of an interest word presentation system when browsing the web using eye movements: demo abstract
abstract
In recent years, eye tracking technology has received a lot of attention. This time, as a basic study of interaction that can extract user's interest information, we tried to develop a user interaction system using a low-cost, non-contact eye-gaze input device. Our system uses the user's gaze point and gaze time when browsing a web page to extract words that the user may be interested in and display the information on the screen.
Taiga Mori, Takahide Otomo, Eriko Ishii, Yuko Hoshino, Mitsuho Yamada
 SenSys5
2020 Analysis of gaze points when looking at paintings and saliency map to improve the accuracy of ROI (region of interest): demo abstract
abstract
As a preliminary step to improve the accuracy of ROI (Region of Interest) based on human visual characteristics, we measured and analyzed the eye movements when looking at paintings. We assumed that there was regularity in viewers' eye movement when looking at a world-renowned painting. This time, we introduce our experimental method, and compare for gaze points distributions and saliency map.
Yusuke Nosaka, Yuko Hoshino, Mitsuho Yamada
 SenSys3
2020 Analysis of healing effects caused by changes in display resolution using biosensors: poster abstract
abstract
In this study, we measured the biomedical signals when subjects viewing videos and examined whether the high-definition videos like 4K resolution videos give the healing effects. We constructed an experimental environment which subjects feel less stressed, and measured heart rates, respiratory rates, cerebral blood flow dynamics, and skin temperature as biomedical signals.
Miho Shinohara, Mitsuho Yamada, Yuko Hoshino
 SenSys2