Demo Data from EDBT 2026 / reviewers in the wild / expert
Chris Rittaler
dblp:292/5551
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
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 |
Interaction techniques and input · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › input device
wearable input device |
0.5 | 1 | 2021 | ElectroRing: Subtle Pinch and Touch Detection with a Ring · CHI 2021 |
Interaction techniques and input
gesture input |
0.1 | 1 | 2021 | ElectroRing: Subtle Pinch and Touch Detection with a Ring · CHI 2021 |
Methods — techniques the papers use, named apart from their topics
signal processing · 0.5electrical sensing · 0.5IMU tracking · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | ElectroRing: Subtle Pinch and Touch Detection with a RingabstractWe present ElectroRing, a wearable ring-based input device that reliably detects both onset and release of a subtle finger pinch, and more generally, contact of the fingertip with the user’s skin. ElectroRing addresses a common problem in ubiquitous touch interfaces, where subtle touch gestures with little movement or force are not detected by a wearable camera or IMU. ElectroRing’s active electrical sensing approach provides a step-function-like change in the raw signal, for both touch and release events, which can be easily detected using only basic signal processing techniques. Notably, ElectroRing requires no second point of instrumentation, but only the ring itself, which sets it apart from existing electrical touch detection methods. We built three demo applications to highlight the effectiveness of our approach when combined with a simple IMU-based 2D tracking system. Wolf Kienzle, Eric Whitmire, Chris Rittaler, Hrvoje Benko |
CHI | 3 |