Measuring human emotions with modular neural networks and computer vision based applications

被引：0

作者：

Albu, Veaceslav ^{[1
]}

Cojocaru, Svetlana ^{[1
]}

机构：

[1] Moldavian Acad Sci, Inst Math & Comp Sci, 5 Acad Str, MD-2028 Kishinev, Moldova

来源：

COMPUTER SCIENCE JOURNAL OF MOLDOVA | 2015年 / 23卷 / 01期

关键词：

Neural networks; emotion recognition; RBFN modular neural networks; Kinect;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper describes a neural network architecture for emotion recognition for human-computer interfaces and applied systems. In the current research, we propose a combination of the most recent biometric techniques with the neural networks (NN) approach for real-time emotion and behavioral analysis. The system will be tested in real-time applications of customers' behavior for distributed on-land systems, such as kiosks and ATMs.

引用

页码：40 / 61

页数：22

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