Emotion recognition by inclusion of age and gender parameters with a novel hierarchical approach using deep learning

被引：2
|
作者：
Aiswarya, P. [1 ]
Manish [1 ]
Mangalraj, P. [2 ]
机构：
[1] SRM Inst Sci & Technol, CSE, Chennai, Tamil Nadu, India
[2] Vellore Inst Technol, Amaravati, Andra Pradesh, India
来源：
2020 ADVANCED COMMUNICATION TECHNOLOGIES AND SIGNAL PROCESSING (IEEE ACTS) | 2020年
关键词：
Convolutional neural network; Squeezenet; Xception; Artificial Neural Network; Deep Neural Network; deep learning; yolo;
D O I：
10.1109/ACTS49415.2020.9350479
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：
In this paper, the emotion, gender and age recognition has been dealt in real time video stream. This model implements Squeezenet and mini-Xception architectures that are combined in a hierarchical order. In order to train these different networks, different types of large labelled datasets have been utilized which are available publicly through a semi-supervised pipeline to reduce the annotations efforts and time. The results show that the emotion-based system gave better performance than the previous model-based system.
引用
收藏
页数：6
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