PT Journal
AU Juan Ramon Terven Salinas
   Bogdan Raducanu
   Maria Elena Meza de Luna
   Joaquin Salas
TI Head-gestures mirroring detection in dyadic social linteractions with computer vision-based wearable devices
SO Neurocomputing
JI NEUCOM
PY 2016
BP 866–876
VL 175
IS B
DI 10.1016/j.neucom.2015.05.131
DE Head gestures recognition; Mirroring detection; Dyadic social interaction analysis; Wearable devices
AB 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.
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