Analysis of mimic facial movements based on motion capture

Mimic facial expressions and emotions represent one of the most important human skills of nonverbal communications [1, 2]. In pathological situations which include facial disorders, in facial palsy rehabilitation or in the new field of facial transplantation, it is important to have accurate knowledge and measurement data of this particular movement. Thus, the biomechanical understanding of this skill might help clinicians and physiotherapist in their endeavour. In fact, until now, facial mimic disorders diagnosis and rehabilitations are based on qualitative and subjective observations [3].