Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ayaka Yamada
dblp:219/5504
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0001-9203-0474ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1
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.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › locomotion › redirected walking
curvature gains |
0.3 | 1 | 2018 | Biomechanical Parameters Under Curvature Gains and Bending Gains in Redirected Walking · VR 2018 |
Virtual and augmented reality
immersive interaction |
0.3 | 1 | 2018 | Biomechanical Parameters Under Curvature Gains and Bending Gains in Redirected Walking · VR 2018 |
Virtual and augmented reality › locomotion
redirected walking |
0.3 | 1 | 2018 | Biomechanical Parameters Under Curvature Gains and Bending Gains in Redirected Walking · VR 2018 |
Methods — techniques the papers use, named apart from their topics
user study · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Whole-Game Motion Capturing of Team Sports: System Architecture and Integrated CalibrationabstractThis paper discusses the application of video motion capturing technology (VMocap) to a competitive team sports game. The setting introduces a specific set of constraints: large scale markerless motion capturing, big recording volume, transmitting and processing gigabytes of data, operation without interfering with players or distracting spectators and staff, etc... In this paper, we present how we tackled and successfully solved all of these constraints. That enabled us to analyze the sportsmen without any intrusions, while giving their peak performance, hence opening a new field for Mocap application. International volleyball game was recorded in full length with the described system. During the course of the event, we compressed 54TB of raw image data real-time, capturing 6 hours of high framerate video per camera, without disturbing any of the game operations. Using the data, we were able to reconstruct the motion, muscle activity and behavior of the athletes present on the court. Yosuke Ikegami, Milutin Nikolic, Ayaka Yamada, Lei Zhang 0079, Natsu Ooke, Yoshihiko Nakamura |
IROS | 3 |
| 2018 | Biomechanical Parameters Under Curvature Gains and Bending Gains in Redirected WalkingabstractIn this study, we examined the effect of walking biomechanics, which occurs when the curvature of the walking path in virtual space is changed, while the actual walking path remains constant. Curvature gains and bending gains were used to change the virtual walking path. We found a significant difference in most biomechanical parameters when curvature manipulation and bending manipulation are applied compared with the case in which they are not applied. Some parameters were also suggested to depend on the visual sense or disagreement between the visual and other senses. Keigo Matsumoto, Ayaka Yamada, Anna Nakamura, Yasushi Uchmura, Keitaro Kawai, Tomohiro Tanikawa |
VR | 2 |