Similarities and disparities between visual analysis and high-resolution electromyography of facial expressions.

ABSTRACT: Computer vision (CV) is widely used in the investigation of facial expressions. Applications range from psychological evaluation to neurology, to name just two examples. CV for identifying facial expressions may suffer from several shortcomings: CV provides indirect information about muscle activation, it is insensitive to activations that do not involve visible deformations, such as jaw clenching. Moreover, it relies on high-resolution and unobstructed visuals. High density surface electromyography (sEMG) recordings with soft electrode array is an alternative approach which provides direct information about muscle activation, even from freely behaving humans. In this investigation, we compare CV and sEMG analysis of facial muscle activation. We used independent component analysis (ICA) an

SUBMITTER: Gat L 

PROVIDER: S-EPMC8863227 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature