文章基本信息

标题：Study and Evaluation Facial Expressions Recognition Methods
本地全文：下载
作者：Mahsa Naeeni Davarani ; Touraj Banirostam ; Hayedeh Saberi 等
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2017
卷号：6
期号：5
页码：599-614
出版社：IJCSN publisher
摘要：In recent years, facial expressions recognition has automatically attracted attention in car vision and non-linguistic communications due to its extremely important applications. The reason of the popularity is extensive applications in various fields. As a result, the implementation of Facial expressions recognition system is very important. For this purpose, various methods such as neural network, neural-Fuzzy network, fuzzy algorithms, deep learning, etc can be used. Various simulations provide different accuracy of facial expressions recognition. In this paper, different ways to identify facial expressions recognition are examined and compared in two ways, quantitative (accuracy of each method) and qualitative (statistical society, advantages, disadvantages, goals and obtained results from the method). This study can help researchers choose the best method for their research and can be familiar with the advantages and disadvantages in each method.
关键词：Facial expressions recognition; image based methods; feature;based methods; EEG;based methods;