학술논문

Facial expression detection using posterior-auricular muscle surface-electromyographic activity
Document Type
article
Source
Advances in Oral and Maxillofacial Surgery, Vol 10, Iss , Pp 100414- (2023)
Subject
Posterior-auricular muscle
sEMG
Surface-electromyography
Smile
Facial expression analysis
Facial palsy rehabilitation
Internal medicine
RC31-1245
Surgery
RD1-811
Language
English
ISSN
2667-1476
Abstract
Introduction: Following Bell's palsy, 25% of sufferers are left with chronic, difficult to treat involuntary muscle movements (synkinesis). Surface-electromyography (sEMG) biofeedback has an established role in improving muscular coordination. The vestigial posterior auricular muscle (PAM) is the first muscle re-innervated by the facial nerve. This study measured the sEMG signal from PAM in facial animation in healthy subjects and explored the possibility of using PAM in a wearable rehabilitative device. Material and methods: PAMs activity was recorded using sEMG in 41 healthy volunteers during the performance of a set range of facial expressions. To compare results between participants and expressions, the percentage increase from baseline were used. Results: PAMs activity increased significantly from baseline in response to smiling (110.98%) compared with other facial expressions: closing eyes (7.85%); blowing out cheeks (39.35%); whistling (11.84%), and showing lower teeth (38.24%). PAMs activity increased in proportion to smile intensity: lips together smile (55.18%); open smile (111.98%); full denture smile (130.07%); and, laughing (269.42%). Conclusion: This study demonstrates that measurement of smile intensity is possible via the sEMG signal from the PAM. Further studies investigating the applicability of measuring PAM activity during smiling to enhance and guide facial palsy rehabilitation are ongoing.