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Jorge Garcíia Bueno

dblp:07/11050 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

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
Interaction techniques and input · 50% Wearable and physiological sensing · 50%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing
emotion recognition		 0.112012
Facial gesture recognition using active appearance models based on neural evolution · HRI 2012
Interaction techniques and input › input sensing › gesture recognition
facial gesture recognition		 0.112012
Facial gesture recognition using active appearance models based on neural evolution · HRI 2012

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

neural evolution · 0.1differential evolution · 0.1active appearance models · 0.1
YearPublicationVenuePosition
2012 Facial gesture recognition using active appearance models based on neural evolution
abstract
Facial gesture recognition is one of the main topics in HRI. We have developed a novel algorithm who allows to detect emotional states, like happiness, sadness or emotionless. A humanoid robot is able to detect these states with a ratio of success of 83% and interact in consequence. We use Active Appearance Models (AAMs) to determinate face features and classify the emotions using neural evolution, based on neural networks and differential evolution algorithm.
Jorge Garcíia Bueno, Miguel González-Fierro, Luis Moreno 0001, Carlos Balaguer
 HRI1