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
ID  - Victor Ponce2015
ER  -