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The facial muscles are just under the skin (subcutaneous) muscles that control facial expression. They generally originate from the surface of the skull bone (rarely the fascia), and insert on the skin of the face. When they contract, the skin moves. These muscles also cause wrinkles at right angles to the muscles’ action line. [2]
Zygomaticus major muscle (associated with smiling). Facial EMG has been studied to assess its utility as a tool for measuring emotional reaction. [3] Studies have found that activity of the corrugator muscle, which lowers the eyebrow and is involved in producing frowns, varies inversely with the emotional valence of presented stimuli and reports of mood state [citation needed].
The zygomaticus major muscle is a muscle of the face. It arises from either zygomatic arch ; it inserts at the corner of the mouth. It is innervated by branches of the facial nerve (cranial nerve VII). It is a muscle of facial expression, which draws the angle of the mouth superiorly and posteriorly to allow one to smile. Bifid zygomaticus ...
It is difficult to determine exactly how many muscles are involved in smiling or frowning as there is a wide range of facial expressions that might be considered a frown or a smile. At minimum ten muscles are required to smile in which only the upper lip and corners of the mouth are lifted. [17]
Facial expression is the motion and positioning of the muscles beneath the skin of the face. These movements convey the emotional state of an individual to observers and are a form of nonverbal communication .
The muscles of the face play a prominent role in the expression of emotion, [1] and vary among different individuals, giving rise to additional diversity in expression and facial features. [29] Variations of the risorius, triangularis and zygomaticus muscles. People are also relatively good at determining if a smile is real or fake.
A smile is a facial expression formed primarily by flexing the muscles at the sides of the mouth. Some smiles include a contraction of the muscles at the corner of the eyes, an action known as a Duchenne smile. Among humans, a smile expresses delight, sociability, happiness, joy, or amusement.
FACS vectors are used as weights for blend shapes corresponding to each AU, with the resulting face mesh then being used to render the finished face. [25] [26] Deep learning techniques can be used to determine the FACS vectors from face images obtained during motion capture acting, facial motion capture or other performances. [27]