Demo Data from EDBT 2026 / reviewers in the wild / expert
Hong-Song Toh
dblp:95/9583
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-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 networks
1 paper |
Wireless sensing and localization · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 77% Wearable and physiological sensing · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Ubiquitous computing and smart environments
mobile sensing |
0.1 | 1 | 2011 | A robust dead-reckoning pedestrian tracking system with low cost sensors · PerCom 2011 |
Wireless sensing and localization › navigation
dead reckoning |
0.1 | 1 | 2011 | A robust dead-reckoning pedestrian tracking system with low cost sensors · PerCom 2011 |
Wireless sensing and localization › tracking › indoor tracking
indoor pedestrian tracking |
0.1 | 1 | 2011 | A robust dead-reckoning pedestrian tracking system with low cost sensors · PerCom 2011 |
Wearable and physiological sensing
inertial sensing |
0.0 | 1 | 2011 | A robust dead-reckoning pedestrian tracking system with low cost sensors · PerCom 2011 |
Methods — techniques the papers use, named apart from their topics
sensor fusion · 0.2maximum a posteriori estimation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | A robust dead-reckoning pedestrian tracking system with low cost sensorsabstractThe emergence of personal mobile device with low cost sensors, such as accelerometer and digital compass, has made dead-reckoning (DR) an attractive choice for indoor pedestrian tracking. In this paper, we propose a robust DR pedestrian tracking system on top of such commercially accessible sensor sets capable of DR. The proposed method exploits the fact that, multiple DR systems, carried by the same pedestrian, have stable relative displacements with respect to the center of motion, and therefore to each other. We first formulate the robust tracking task as a generalized maximum a posteriori sensor fusion problem, and then we narrow it to a simple computation procedure with certain assumptions. A prototype is implemented and evaluated with a benchmark system that collects ground truth efficiently and accurately. In a practical indoor testbed, the proposed scheme has exhibited robust tracking performance, with reduction in average tracking error up to 73.7%, compared to traditional DR tracking methods. Yunye Jin, Hong-Song Toh, Wee-Seng Soh, Lawrence Wai-Choong Wong |
PerCom | 2 |