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Jaakko Mäentausta

dblp:95/7353 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization
capacitive sensing
0.112009
TileTrack: Capacitive Human Tracking using Floor Tiles · PerCom 2009
Wireless sensing and localization › tracking
indoor tracking
0.112009
TileTrack: Capacitive Human Tracking using Floor Tiles · PerCom 2009
Ubiquitous computing and smart environments › smart buildings
smart floor
0.012009
TileTrack: Capacitive Human Tracking using Floor Tiles · PerCom 2009

Methods — techniques the papers use, named apart from their topics

low-frequency electric field · 0.2
YearPublicationVenuePosition
2009 TileTrack: Capacitive Human Tracking using Floor Tiles
abstract
Accurate, simple and affordable methods for passive indoor tracking of human beings are still missing. In this article, we describe the development of an unobtrusive two-dimensional human positioning system based on low-frequency electric fields. The system's operation is based on measuring the capacitance between multiple floor tiles and a receiving electrode. The presented system is invisible to the user and uses a single-chip solution to measure the capacitances. The implemented system is evaluated with two different types of receiving electrodes and the results are presented. With the used tiles, the system can locate a standing human with at least 15 cm accuracy and track a walking person with at least 41 cm accuracy. The update rate of the system is 10 Hz.
Miika Valtonen, Jaakko Mäentausta, Jukka Vanhala
PerCom2