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Kazme Egawa

dblp:239/9809 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Graphics, 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.

Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 100%
Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies › fitness technology
sports training system
0.412019
InterPoser: Visualizing Interpolated Movements for Bouldering Training · VR 2019
Computer animation and physical simulation › motion synthesis
motion interpolation
0.112019
InterPoser: Visualizing Interpolated Movements for Bouldering Training · VR 2019

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

video feedback · 0.8motion transfer · 0.8
YearPublicationVenuePosition
2019 InterPoser: Visualizing Interpolated Movements for Bouldering Training
abstract
Bouldering is an urban form of rock climbing that requires precise and complex movement. Similarly to other sports, the simplest way to learn bouldering skill is to mimic professional's motion. However, ordinary beginner boulders cannot learn to coaches, so that they learn by themselves or tutorial videos. Even if they managed, bouldering has a communication difficulty between a trainee and a trainer, that is, climbers cannot mimic the trainer's movement in parallel. Accordingly, we considered a video feedback system would be useful for beginners and suggested InterPoser: a novel visualization system for intermediate motion between a beginner climber and a more experienced. InterPoser receives two videos of different subjects climbing the sample problem and generates an intermediate movement. In addition, this motion is transferred into realistic images of the climber. The proposed system is expected to support beginner to acquire more detailed observation and understanding of the motion.
Keisuke Shiro, Kazme Egawa, Takashi Miyaki, Jun Rekimoto
VR2