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Title:	Non-verbal communication analysis in victim-offender mediations
Author:	Ponce López, Víctor; Escalera Guerrero, Sergio; Pérez, Marc; Janés, Oriol; Baró Solé, Xavier
Other authors:	Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3); Universitat Autònoma de Barcelona
Abstract:	We present a non-invasive ambient intelligence framework for the semi-automatic analysis of non-verbal communication applied to the restorative justice field. We propose the use of computer vision and social signal processing technologies in real scenarios of Victim-Offender Mediations, applying feature extraction techniques to multi-modal audio-RGB-depth data. We compute a set of behavioral indicators that define communicative cues from the fields of psychology and observational methodology. We test our methodology on data captured in real Victim-Offender Mediation sessions in Catalonia. We define the ground truth based on expert opinions when annotating the observed social responses. Using different state of the art binary classification approaches, our system achieves recognition accuracies of 86% when predicting satisfaction, and 79% when predicting both agreement and receptivity. Applying a regression strategy, we obtain a mean deviation for the predictions between 0.5 and 0.7 in the range [1-5] for the computed social signals.
Subject(s):	-victim-offender mediation -multi-modal human behavior analysis -face and gesture recognition -social signal processing -computer vision -machine learning -mediació víctima-agressor -anàlisi multimodal del comportament humà -reconeixement de cara i gestos -processament de senyals socials -visió per computador -aprenentatge automàtic -mediación víctima-agresor -reconocimiento facial y gestual -procesamiento de señales sociales -visión por computador -aprendizaje automático -análisis multimodal del comportamiento humano -Pattern recognition systems -Reconeixement de formes (Informàtica) -Reconocimiento de formas (Informática)
Rights:	(c) Author/s & (c) Journal
Document type:	Article Article - Submitted version
Published by:	Pattern Recognition Letters
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