Visual Emotion sensing using Convolutional Neural Network

被引：4
|
作者：
Ayadi, Souha [1 ,3 ]
Lachiri, Zied [2 ]
机构：
[1] Univ Tunis El Manar, Tunis, Tunisia
[2] Natl Engn Sch Tunis, SITI, Signal Image & Informat Technol Lab, Campus Univ Farhat Hached El Manar BP 37, Tunis 1002, Tunisia
[3] Natl Engn Sch Tunis, Dept Elect Engn, Signal Image & Informat Technol SITI Lab, Campus Univ Farhat Hached El Manar BP 37, Tunis 1002, Tunisia
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2022年 / 98卷 / 03期
关键词：
Visual Emotion recognition; CNN; RECOGNITION;
D O I：
10.15199/48.2022.03.20
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The objective of this article is to present a CNN architecture relevant to the Interactive Emotional Dyadic Motion Capture (IEMOCAP). Since the database showed some issues during the training phase, we are using frames as inputs instead of video recorder to minimize the error and increase the accuracy. We apply the methodology of transfer learning by adjust the number of layers and the weight of the database. The results of the female and male genders are 91% and 89% respectively .
引用
收藏
页码：89 / 92
页数：4
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