TY - JOUR AU - Juan Ramon Terven Salinas AU - Bogdan Raducanu AU - Maria Elena Meza de Luna AU - Joaquin Salas PY - 2016// TI - Head-gestures mirroring detection in dyadic social linteractions with computer vision-based wearable devices T2 - NEUCOM JO - Neurocomputing SP - 866–876 VL - 175 IS - B KW - Head gestures recognition KW - Mirroring detection KW - Dyadic social interaction analysis KW - Wearable devices N2 - During face-to-face human interaction, nonverbal communication plays a fundamental role. A relevant aspect that takes part during social interactions is represented by mirroring, in which a person tends to mimic the non-verbal behavior (head and body gestures, vocal prosody, etc.) of the counterpart. In this paper, we introduce a computer vision-based system to detect mirroring in dyadic social interactions with the use of a wearable platform. In our context, mirroring is inferred as simultaneous head noddings displayed by the interlocutors. Our approach consists of the following steps: (1) facial features extraction; (2) facial features stabilization; (3) head nodding recognition; and (4) mirroring detection. Our system achieves a mirroring detection accuracy of 72% on a custom mirroring dataset. L1 - http://refbase.cvc.uab.es/files/TRM2016.pdf UR - http://dx.doi.org/10.1016/j.neucom.2015.05.131 N1 - OR; 600.072; 600.068;MV ID - Juan Ramon Terven Salinas2016 ER -