TY - JOUR AU - Victor Ponce AU - Sergio Escalera AU - Marc Perez AU - Oriol Janes AU - Xavier Baro PY - 2015// TI - Non-Verbal Communication Analysis in Victim-Offender Mediations T2 - PRL JO - Pattern Recognition Letters SP - 19 EP - 27 VL - 67 IS - 1 KW - Victim–Offender Mediation KW - Multi-modal human behavior analysis KW - Face and gesture recognition KW - Social signal processing KW - Computer vision KW - Machine learning N2 - 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. UR - http://dx.doi.org/10.1016/j.patrec.2015.07.040 N1 - HuPBA;MV;OR;MILAB ID - Victor Ponce2015 ER -