PyFER: A Facial Expression Recognizer Based on Convolutional Neural Networks
Facial expression recognition (FER), one of the most trending research areas of the Human-Machine Interaction, is the task of detecting emotions by analyzing facial expressions and this analysis plays a critical role as it conveys the clearest information regarding the emotions of people. Despite th...
Main Author: | Abdullah Talha Kabakus |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9151954/ |
Similar Items
-
Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification
by: Sakib Mostafa, et al.
Published: (2022-05-01) -
Prediction of Life Expectancy in Maluku Province Using Backpropagation Artificial Neural Networks
by: Yopi Andry Lesnussa, et al.
Published: (2020-12-01) -
Implementasi Jaringan Saraf Tiruan Untuk Menentukan Kelayakan Proposal Tugas Akhir
by: Fitri Ayu
Published: (2019-02-01) -
The Determination of the Developments of Beehives via Artificial Neural Networks
by: Raif Bayir, et al.
Published: (2018-01-01) -
NeuroCharter: A Neural Networks Software to Visually Discover the Effects and Contributions between Interrelated Features
by: Mohammad N. Elnesr, et al.
Published: (2017-09-01)