Development of video-based emotion recognition using deep learning with Google colab
Emotion recognition using images, videos, or speech as input is considered as a hot topic in the field of research over some years. With the introduction of deep learning techniques, e.g., convolutional neural networks (CNN), applied in emotion recognition, has produced promising results. Human fac...
Saved in:
Main Authors: | Gunawan, Teddy Surya, Ashraf, Arselan, Riza, Bob Subhan, Haryanto, Edy Victor, Rosnelly, Rika, Kartiwi, Mira, Janin, Zuriati |
---|---|
Format: | Article |
Language: | English English |
Published: |
UAD
2020
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/82532/7/82532_Development%20of%20video-based%20emotion%20recognition.pdf http://irep.iium.edu.my/82532/8/82532_Development%20of%20video-based%20emotion%20recognition_Scopus.pdf http://irep.iium.edu.my/82532/ http://journal.uad.ac.id/index.php/TELKOMNIKA |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On the review of image and video-based depression detection using machine learning
by: Ashraf, Arselan, et al.
Published: (2020) -
Development of air quality measurement system using raspberry Pi
by: Mohd Pu'ad, Muhamad Farhan, et al.
Published: (2018) -
Development of offline handwritten signature authentication using artificial neural network
by: Gunawan, Teddy Surya, et al.
Published: (2018) -
Development of Quran reciter identification system using MFCC and GMM classifier
by: Gunawan, Teddy Surya, et al.
Published: (2018) -
Design and implementation of portable outdoor air quality measurement systemn using Arduino
by: Gunawan, Teddy Surya, et al.
Published: (2018)