Empreu aquest identificador per citar o enllaçar aquest ítem: http://hdl.handle.net/10609/92803
Registre complet de metadades
Camp DCValorLlengua/Idioma
dc.contributor.authorPonce López, Víctor-
dc.contributor.authorEscalera, Sergio-
dc.contributor.authorPérez, Marc-
dc.contributor.authorJanés, Oriol-
dc.contributor.authorBaró, Xavier-
dc.contributor.otherUniversitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)-
dc.contributor.otherUniversitat Autònoma de Barcelona (UAB)-
dc.date.accessioned2019-04-02T13:44:37Z-
dc.date.available2019-04-02T13:44:37Z-
dc.date.issued2015-01-19-
dc.identifier.citationPonce-López, V., Escalera, S., Pérez, M., Janés, O. & Baró, X. (2015). Non-verbal communication analysis in victim-offender mediations. Pattern Recognition Letters, 67(1), 19-27. doi: 10.1016/j.patrec.2015.07.040-
dc.identifier.issn0167-8655MIAR
-
dc.identifier.urihttp://hdl.handle.net/10609/92803-
dc.description.abstractWe 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.en
dc.language.isoeng-
dc.publisherPattern Recognition Letters-
dc.relation.ispartofPattern Recognition Letters, 2015, 67(1)-
dc.relation.urihttps://doi.org/10.1016/j.patrec.2015.07.040-
dc.rightsCC BY-NC-ND-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/-
dc.subjectvictim-offender mediationen
dc.subjectmulti-modal human behavior analysisen
dc.subjectface and gesture recognitionen
dc.subjectsocial signal processingen
dc.subjectcomputer visionen
dc.subjectmachine learningen
dc.subjectmediació víctima-agressorca
dc.subjectanàlisi multimodal del comportament humàca
dc.subjectreconeixement de cara i gestosca
dc.subjectprocessament de senyals socialsca
dc.subjectvisió per computadorca
dc.subjectaprenentatge automàticca
dc.subjectmediación víctima-agresores
dc.subjectreconocimiento facial y gestuales
dc.subjectprocesamiento de señales socialeses
dc.subjectvisión por computadores
dc.subjectaprendizaje automáticoes
dc.subjectanálisis multimodal del comportamiento humanoes
dc.subject.lcshPattern recognition systemsen
dc.titleNon-verbal communication analysis in victim-offender mediations-
dc.typeinfo:eu-repo/semantics/article-
dc.subject.lemacReconeixement de formes (Informàtica)ca
dc.subject.lcshesReconocimiento de formas (Informática)es
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.doi10.1016/j.patrec.2015.07.040-
dc.gir.idAR/0000004105-
dc.type.versioninfo:eu-repo/semantics/submittedVersion-
Apareix a les col·leccions:Articles cientÍfics
Articles

Arxius per aquest ítem:
Arxiu Descripció MidaFormat 
nonverbal.pdfPreprint4,23 MBAdobe PDFThumbnail
Veure/Obrir
Comparteix:
Exporta:
Consulta les estadístiques

Els ítems del Repositori es troben protegits per copyright, amb tots els drets reservats, sempre i quan no s’indiqui el contrari.