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Megan Fitzpatrick

dblp:46/11190 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 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
Internet of things and sensor networks · 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
Internet of things and sensor networks › wireless sensor network › target tracking
animal tracking
0.112012
Crane charades: behavior identification via backpack mounted sensor platforms · IPSN 2012
Internet of things and sensor networks
wireless sensor network
0.112012
Crane charades: behavior identification via backpack mounted sensor platforms · IPSN 2012
Ubiquitous computing and smart environments › context recognition
human behavior recognition
0.012012
Crane charades: behavior identification via backpack mounted sensor platforms · IPSN 2012

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

on-board classification · 0.3
YearPublicationVenuePosition
2012 Crane charades: behavior identification via backpack mounted sensor platforms
abstract
The Whooping Crane is an endangered species native to North America and there are approximately 575 in existence. There have been recent efforts to provide ecologists with a tool to study the multifaceted behavior of the endangered species. Like many species, cranes display distinctly identifiable movements while being threatened, acting territorial, migrating, or preening. The preliminary experiments described in this poster provide evidence that sensor data presented by a novel sensing platform, the CraneTracker, can be used to identify crane behaviors on-board. With the ability to identify these behaviors, ecologists will have a more granular insight on what occurs during a crane's life on a daily basis.
William P. Bennett, Megan Fitzpatrick, David J. Anthony, Mehmet Can Vuran, Anne Lacy
IPSN2