Demo Data from EDBT 2026 / reviewers in the wild / expert
Wataru Takasaki
dblp:06/10485
· 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.
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Ubiquitous computing and smart environments › context recognition
activity recognition |
0.1 | 1 | 2011 | Response time improvement in accelerometer-based activity recognition by activity change detection · UbiComp 2011 |
Ubiquitous computing and smart environments › context recognition › activity recognition
accelerometer-based activity recognition |
0.0 | 1 | 2011 | Response time improvement in accelerometer-based activity recognition by activity change detection · UbiComp 2011 |
Methods — techniques the papers use, named apart from their topics
classifier · 0.1activity change detection · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Response time improvement in accelerometer-based activity recognition by activity change detectionabstractA method has been developed to improve response time of accelerometer based activity recognition. Our method firstly detects a point of change in activity from sensor data and then applies a classifier trained with short window data immediately after the point. Results of experiments show that our method achieves a response time more than one second faster than that of a conventional method. Ren Ohmura, Wataru Takasaki |
UbiComp | 2 |