Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/48331
Title: Quantitative analysis of non-verbal communication competence
Author: Cepero Amador, Álvaro
Director: Escalera Guerrero, Sergio
Clapés Sintes, Albert
Keywords: Comunicació no verbal
Intel·ligència artificial
Programari
Tesis
Reconeixement de formes (Informàtica)
Nonverbal communication
Artificial intelligence
Computer software
Theses
Pattern recognition systems
Issue Date: 15-Jun-2013
Abstract: Oral communication is an escencial part of human life. Efeective communication skills are required not only professionally, but also in our daily life. Due to its importance in our daily activities it is essential to find methods that improve our communication skills. Several studies in the field of psychology on verbal and non-verbal communication has been done in the past decades, however from the point of view of Artificial Intelligence we are still at the begining of a long way to go. In this project, we propose a method that is able to extract behavioral cues from subject's presentations based on the analysis of multi modal data provided by the Kinect camera and applying different statistical classifiers that will allow the system to predict the quality of the presentation. All the experiments were took from students at Universitat de Barcelona while defending its class works.
Note: Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any:2013, Director: Sergio Escalera Guerrero i Albert Clapés i Sintes
URI: http://hdl.handle.net/2445/48331
Appears in Collections:Treballs Finals de Grau (TFG) - Enginyeria Informàtica
Programari - Treballs de l'alumnat

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