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
相关论文
共 50 条
  • [1] A Novel Approach for Emotion Recognition Based on EEG Signal Using Deep Learning
    Abdulrahman, Awf
    Baykara, Muhammet
    Alakus, Talha Burak
    APPLIED SCIENCES-BASEL, 2022, 12 (19):
  • [2] A Deep Learning Approach on Gender and Age Recognition using a Single Inertial Sensor
    Sun, Yingnan
    Lo, Frank P. -W.
    Lo, Benny
    2019 IEEE 16TH INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN), 2019,
  • [3] A Robust Approach for Gender Recognition using Deep Learning
    Arora, Shefali
    Bhatia, M. P. S.
    2018 9TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2018,
  • [4] EMOTION RECOGNITION USING DEEP LEARNING
    Priya, R. N. Beena
    Hanmandlu, M.
    Vasikarla, Shantaram
    2021 IEEE APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP (AIPR), 2021,
  • [5] LEARNING UTTERANCE-LEVEL REPRESENTATIONS FOR SPEECH EMOTION AND AGE/GENDER RECOGNITION USING DEEP NEURAL NETWORKS
    Wang, Zhong-Qiu
    Tashev, Ivan
    2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 5150 - 5154
  • [6] A Deep Learning Method Using Gender-Specific Features for Emotion Recognition
    Zhang, Li-Min
    Li, Yang
    Zhang, Yue-Ting
    Ng, Giap Weng
    Leau, Yu-Beng
    Yan, Hao
    SENSORS, 2023, 23 (03)
  • [7] Transferring Age and Gender Attributes for Dimensional Emotion Prediction from Big Speech Data using Hierarchical Deep Learning
    Zhao, Huijuan
    Ye, Ning
    Wang, Ruchuan
    2018 IEEE 4TH INTERNATIONAL CONFERENCE ON BIG DATA SECURITY ON CLOUD (BIGDATASECURITY), 4THIEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING, (HPSC) AND 3RD IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA AND SECURITY (IDS), 2018, : 20 - 24
  • [8] Text-Based Emotion Recognition Using Deep Learning Approach
    Bharti, Santosh Kumar
    Varadhaganapathy, S.
    Gupta, Rajeev Kumar
    Shukla, Prashant Kumar
    Bouye, Mohamed
    Hingaa, Simon Karanja
    Mahmoud, Amena
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [9] Text-Based Emotion Recognition Using Deep Learning Approach
    Bharti, Santosh Kumar
    Varadhaganapathy, S.
    Gupta, Rajeev Kumar
    Shukla, Prashant Kumar
    Bouye, Mohamed
    Hingaa, Simon Karanja
    Mahmoud, Amena
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [10] A Deep Learning Approach for Speech Emotion Recognition Optimization Using Meta-Learning
    Ottoni, Lara Toledo Cordeiro
    Ottoni, Andre Luiz Carvalho
    Cerqueira, Jes de Jesus Fiais
    ELECTRONICS, 2023, 12 (23)
12345