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Joshua Verdejo

dblp:303/9434 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing
electrical impedance tomography
0.512021
EIT-kit: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing · UIST 2021
Personal fabrication and tangible interfaces
sensor fabrication
0.112021
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
YearPublicationVenuePosition
2021 EIT-kit: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing
abstract
In 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
UIST3