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Caitlin Flowers

dblp:142/3165 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Artificial intelligence and machine learning · 1Human-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.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 91% Wearable and physiological sensing · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › teleoperation
gesture-based robot control
0.212014
Remote control of quadrotor teams, using hand gestures · HRI 2014
Human-robot interaction › multi-robot systems
multi-robot control
0.212014
Remote control of quadrotor teams, using hand gestures · HRI 2014
Human-robot interaction
teleoperation
0.212014
Remote control of quadrotor teams, using hand gestures · HRI 2014
Wearable and physiological sensing › electromyography
EMG-based gesture recognition
0.112014
Remote control of quadrotor teams, using hand gestures · HRI 2014

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

command language design · 0.2EMG signal processing · 0.2
YearPublicationVenuePosition
2014 Remote control of quadrotor teams, using hand gestures
abstract
This paper addresses the human-centered control of a team (pack) of quadrotors. The control is remote, over the internet. Using simple telepresence tools (video in Skype, showing remote imagery from a ground camera, and from the quadrotors' own livestreaming cameras) the operator uses a command language, UAVL (standing for Unmanned Aerial Vehicle Language) to control quadrotors' behaviors. Seventeen hand gestures are used to express the commands; these are decoded by processing EMG signals collected with an array of EMG electrodes embedded in a BioSleeve mounted on the forearm. Extending prior work with an Unmanned Ground Vehicle Language (UGVL) used with ground robots, UAVL encodes commands used to control quadrotors, individually, or as a team, in direct teleoperated flight, or in preprogrammed flight patterns triggered by the commands.
Adrian Stoica, Federico Salvioli, Caitlin Flowers
HRI3