Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hironari Sugiyama
dblp:274/9431
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% | |
| Artificial intelligence
1 paper |
Robot navigation and mapping · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping › localization › signal-based localization
magnetic localization |
0.1 | 1 | 2020 | Magnetic Sensor Based Topographic Localization for Automatic Dislocation of Ingested Button Battery · ICRA 2020 |
Methods — techniques the papers use, named apart from their topics
trilateration · 0.9hall-effect sensors · 0.4hall effect sensor · 0.4electromagnetic coils · 0.4electromagnetic coil · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Magnetic Sensor Based Topographic Localization for Automatic Dislocation of Ingested Button BatteryabstractA button battery accidentally ingested by a toddler or small child can cause severe damage to the stomach within a short period of time. Once a battery lands on the surface of the esophagus or stomach, it can run a current in the tissue and induce a chemical reaction resulting in injury. Following our previous work where we presented an ingestible magnetic robot for button battery retrieval, this study presents a remotely achieved novel localization method of a button battery with commonly available magnetic sensors (Hall-effect sensors). By applying a direct magnetic field to the button battery using an electromagnetic coil, the battery is magnetized, and hence it becomes able to be sensed by Hall-effect sensors. Using a trilateration method, we were able to detect the locations of an LR44 button battery and other ferromagnetic materials at variable distances. Additional four electromagnetic coils were used to autonomously navigate a magnet-containing capsule to dislocate the battery from the affected site. Jialun Liu, Hironari Sugiyama, Tadachika Nakayama, Shuhei Miyashita |
ICRA | 2 |