专注度识别应用研究

Application Research on Attention Recognition

近年来,对于专注度的判断重视程度越来越高,针对人工观察、问卷调查等方法效率低下、实时性差等问题,该文结合机器视觉技术设计了一种专注度识别方法,在VGG-16的基础上进行改进并结合抬头平视率,同时在GT数据库的基础上进行专注判别分类,构建了用于专注度识别的数据库,提高了专注度识别的准确性和实时性,育有广阔的应用前景和市场需求。

In recent years,more and more attention has been paid to the judgment of concentration.Aiming at the problems of low efficiency and poor real-time performance of manual observation and questionnaire surveys,this paper combines machine vision technology to design a concentration recognition method.Improved on the basis and combined with the head-up head-up rate,and at the same time,the focus discrimination classification is performed on the basis of the GT database,and a database for concentration recognition is constructed,which improves the accuracy and real-time performance of concentration recognition,and has broad application prospects and market demand.