生物医学工程研究2024，Vol.43Issue(5)：349-355,7.DOI:10.19529/j.cnki.1672-6278.2024.05.01
基于面部运动单元的抑郁症检测方法研究
Research on depression detection method based on facial action unit
摘要
Abstract
In order to solve the problem that the depression diagnosis in medical practice is complicated and depends on the sub-jective judgment and experience accumulation of doctors,we proposed a depression detection system based on facial action unit by u-sing computer algorithm,which expanded the range of facial image recognition and introduced expert prior knowledge.The output re-sults of the face detection model and the key point detection model were encoded into the depression detection model by setting the seg-mentation rules of the facial action unit.Finally,each face image was divided into regions,which could achieve facial action unit recog-nition of local regions of the face at a finer granularity,thereby achieving higher accuracy and improving the accuracy of depression de-tection.This study can provide a new idea for depression detection based on facial action unit,which has important research signifi-cance.关键词
抑郁症检测/面部运动单元/情感计算/关键点检测/分割规则Key words
Depression detection/Facial action unit/Affective computing/Key point detection/Segmentation rules分类
医药卫生引用本文复制引用
赵俊凯,高鸿祥,赵璐璐,柴雪锋,王鹏程,李建清,刘澄玉..基于面部运动单元的抑郁症检测方法研究[J].生物医学工程研究,2024,43(5):349-355,7.基金项目
国家重点研发计划(2023YFC3603600) （2023YFC3603600）
国家自然科学基金项目(62171123). （62171123）
