Development of video-based emotion recognition using deep learning with Google colab

• 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: TK Electrical engineering. Electronics Nuclear engineering; TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
• 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

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...