Demo Data from SIGIR 2026 / reviewers in the wild / expert
Soichiro Matsushita
dblp:47/6508
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
0009-0007-9424-2877ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 first-author
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 |
Wearable and physiological sensing · 100% | |
| Computer graphics and multimedia
1 paper |
Audio and music processing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wearable and physiological sensing › motion sensing
motion tracking |
0.4 | 1 | 2019 | A wrist-worn motion evaluation system for fast and powerful down picking of heavy metal guitar · UbiComp 2019 |
Audio and music processing › music analysis
music performance analysis |
0.1 | 1 | 2019 | A wrist-worn motion evaluation system for fast and powerful down picking of heavy metal guitar · UbiComp 2019 |
Methods — techniques the papers use, named apart from their topics
inertial motion tracking · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | A wrist-worn motion evaluation system for fast and powerful down picking of heavy metal guitarabstractA fast and powerful down picking skill of rhythm guitar is crucial for heavy metal songs. At more than 400 beats per minute, which is a typical starting point for heavy metal songs, most players feel hard to keep the picking rhythm. In this paper, we propose a wrist-worn inertial motion tracking device for analyzing the guitar picking motion. A population test showed that a wrist twist angular velocity signal would give sufficient information on the picking timing to evaluate the accuracy of rhythm. It was also found that the power of sound had a strong correlation with the wrist twist angle and the upward linear acceleration signals. We developed a picking evaluation system by using characteristic motion parameters that informs the player of the speed, power, and smoothness of the picking motion. As a result, five out of eight beginners to play heavy metal guitar reached the speed of 400 beats per minute in a short training period. Soichiro Matsushita |
UbiComp | 1 |