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Jean-Loïc Le Carrou

dblp:123/6367 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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.

Computer graphics and multimedia
1 paper
Audio and music processing · 100%
Human-computer interaction and pervasive computing
1 paper
Usability and user experience research · 100%

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

TopicWeightPapersLastEvidence papers
Audio and music processing
auditory display
0.212016
Categorization of seismic sources by auditory display: A blind test · Int. J. Hum. Comput. Stud. 2016
Audio and music processing
sonification
0.212016
Categorization of seismic sources by auditory display: A blind test · Int. J. Hum. Comput. Stud. 2016
Usability and user experience research
perceptual evaluation
0.112016
Categorization of seismic sources by auditory display: A blind test · Int. J. Hum. Comput. Stud. 2016
YearPublicationVenuePosition
2016 Categorization of seismic sources by auditory display: A blind test
Arthur Paté, Lapo Boschi, Jean-Loïc Le Carrou, Benjamin K. Holtzman
Int. J. Hum. Comput. Stud.3
2012 Harp plucking robotic finger
abstract
This paper describes results about the development of a repeatable and configurable robotic finger designed to pluck harp strings. Eventually, this device will be a tool to study string instruments in playing conditions. We use a classical robot with two degrees of freedom enhanced with silicone fingertips. The validation method requires a comparison with real harpist performance. A specific experimental setup using a high-speed camera combined with an accelerometer was carried out. It provides finger and string trajectories during the whole plucking action and the soundboard vibrations during the string oscillations. A set of vibrational features are then extracted from these signals to compare robotic finger to harpist plucking actions. These descriptors have been analyzed on six fingertips of various shapes and hardnesses. Results allow to select the optimal shape and hardness among the silicone fingertips according to vibrational features.
Delphine Chadefaux, Jean-Loïc Le Carrou, Marie-Aude Vitrani, Sylvere Billout, Laurent Quartier
IROS2