Demo Data from SIGIR 2026 / reviewers in the wild / expert
Joshua Verdejo
dblp:303/9434
· 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 |
Wearable and physiological sensing · 77% Personal fabrication and tangible interfaces · 23% |
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
electrical impedance tomography |
0.5 | 1 | 2021 | EIT-kit: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing · UIST 2021 |
Personal fabrication and tangible interfaces
sensor fabrication |
0.1 | 1 | 2021 | EIT-kit: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing · UIST 2021 |
Methods — techniques the papers use, named apart from their topics
image reconstruction · 0.53d editor extension · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | EIT-kit: An Electrical Impedance Tomography Toolkit for Health and Motion SensingabstractIn this paper, we propose EIT-kit, an electrical impedance tomography toolkit for designing and fabricating health and motion sensing devices. EIT-kit contains (1) an extension to a 3D editor for personalizing the form factor of electrode arrays and electrode distribution, (2) a customized EIT sensing motherboard for performing the measurements, (3) a microcontroller library that automates signal calibration and facilitates data collection, and (4) an image reconstruction library for mobile devices for interpolating and visualizing the measured data. Together, these EIT-kit components allow for applications that require 2- or 4-terminal setups, up to 64 electrodes, and single or multiple (up to four) electrode arrays simultaneously. Junyi Zhu 0001, Jackson C. Snowden, Joshua Verdejo, Emily Chen, Hamid Ghaednia, Joseph H. Schwab, Stefanie Mueller 0001 |
UIST | 3 |