Demo Data from EDBT 2026 / reviewers in the wild / expert
Naoki Kubota
dblp:11/9964
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 |
Accessibility and assistive technology · 33% User interface design and tools · 33% Health and well-being technologies · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology › motor impairment accessibility
assistive technology for motor impairment |
0.1 | 1 | 2011 | Development of drawing assist system for patients with cerebral palsy of the tension athetosis type · ICRA 2011 |
User interface design and tools › creative tools
drawing assistance |
0.1 | 1 | 2011 | Development of drawing assist system for patients with cerebral palsy of the tension athetosis type · ICRA 2011 |
Methods — techniques the papers use, named apart from their topics
variable filter · 0.1involuntary movement attenuation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Development of drawing assist system for patients with cerebral palsy of the tension athetosis typeabstractCreative activities, such as painting and music, are one source of satisfaction and fulfillment for people with disabilities. However, some individuals with a disability can not satisfactorily enjoy such activities because of involuntary movement or spasms. In this study, we developed a drawing assist system for patients with cerebral palsy of the tension athetosis type, who experience spasticity that makes it difficult for the assist system to distinguish involuntary movement from voluntary movement. We designed a variable filter to attenuate involuntary movement on the basis of the behavioral characteristics of the velocity component with respect to in voluntary movement. Our system enabled drawing based on the participant's own senses and motor control, even when experiencing involuntary movement. Hiroaki Aoyama, Tomoyuki Nakao, Naruto Miyagawa, Naoki Kubota, Satoshi Horihata, Ken'ichi Yano |
ICRA | 4 |