A correct recognition of nonverbal expressions is currently one of the most important challenges of research in the field of human computer interaction. The ability to recognize human actions could change the way to interact with machines, maybe the way to live. In this paper, the innovative recognition system developed in the Italian research project PON SS-RR, finalized to support the classification process of the two behavioral situations (resonance and dissonance) of a candidate applying for a job position, is focused and described.

An Innovative System for Multimodal Emotion Recognition from Nonverbal Human Features during Job Recruitment / Bevilacqua, Vitoantonio; Carnimeo, Leonarda; Guccione, Pietro; Mastronardi, G; Uva, Antonio Emmanuele; Fiorentino, Michele; Monno, Giuseppe; Marino, Francescomaria; Dotoli, Mariagrazia; Costantino, Nicola; Carbonara, Nunzia. - volume B:(2014), pp. 439-449. (Intervento presentato al convegno 1st Workshop on the State of the Art and Challenges of Research Effort at POLIBA (SCORE@POLIBA’14) tenutosi a Bari - Italy).

An Innovative System for Multimodal Emotion Recognition from Nonverbal Human Features during Job Recruitment

BEVILACQUA, Vitoantonio;CARNIMEO, Leonarda;GUCCIONE, Pietro;UVA, Antonio Emmanuele;FIORENTINO, Michele;MONNO, Giuseppe;MARINO, Francescomaria;DOTOLI, Mariagrazia;COSTANTINO, Nicola;CARBONARA, Nunzia
2014-01-01

Abstract

A correct recognition of nonverbal expressions is currently one of the most important challenges of research in the field of human computer interaction. The ability to recognize human actions could change the way to interact with machines, maybe the way to live. In this paper, the innovative recognition system developed in the Italian research project PON SS-RR, finalized to support the classification process of the two behavioral situations (resonance and dissonance) of a candidate applying for a job position, is focused and described.
2014
1st Workshop on the State of the Art and Challenges of Research Effort at POLIBA (SCORE@POLIBA’14)
978-88-492-2965-3
An Innovative System for Multimodal Emotion Recognition from Nonverbal Human Features during Job Recruitment / Bevilacqua, Vitoantonio; Carnimeo, Leonarda; Guccione, Pietro; Mastronardi, G; Uva, Antonio Emmanuele; Fiorentino, Michele; Monno, Giuseppe; Marino, Francescomaria; Dotoli, Mariagrazia; Costantino, Nicola; Carbonara, Nunzia. - volume B:(2014), pp. 439-449. (Intervento presentato al convegno 1st Workshop on the State of the Art and Challenges of Research Effort at POLIBA (SCORE@POLIBA’14) tenutosi a Bari - Italy).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/22893
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