The Feasibility of An Automatical Facial Evaluation System Providing Objective and Reliable Results for Facial Palsy

Abstract

Facial palsy would lead to a series of physical and mental problems, as facial function plays an important role in various aspects of daily life. However, the current strategies for evaluating facial function relied heavily on raters and the results varied from the experience of raters. Thus, an objective and accurate facial evaluation system is always claimed. In this study, a customized automatical facial evaluation system (AFES) was proposed, which might have the potential to be employed as an adjunctive and efficient assessing method in clinic. In order to investigate the feasibility of AFES, ninety-two participants with facial palsy were recruited and received scalebased subjective manual evaluation (including mHBGS and mSFGS) and objective automatical evaluation of AFES (including aHBGS, aSFGS and indicators of facial regional features) at enrollment and after two weeks. The correlations between the results of the two methods were analyzed and the participants were stratified according to the severity of facial function for further analyses. Strong

Automatic Facial Palsy, Age and Gender Detection Using a Raspberry Pi

“…However, it was not considered to be user-friendly due to its lack of real-time functionality. In another study by Zhang et al [30] a system that automatically evaluates faces called AFES (Automatic Facial Evaluation System) was suggested with customization options; during the study, a total of 92 individuals with facial palsy were enrolled and underwent evaluations. The evaluations included both subjective manual assessments using scales such as mHBGS and mSFGS, as well as automatic objective evaluations utilizing AFES.…”