دراسة تجريبية في التعرف على مشاعر الوجه في الزمن الحقيقي على قاعدة بيانات 3RL الجديدة
|
الباحثون المشاركون |
م. رحمة أبو زفرة – م. لانا أحمد عبد الله – م. رؤى الأعرج – م. رشا البزرة – د. طارق برهوم – م. خلود الجلاد |
|
منشور في |
Journal of Current Trends in Computer Science Research, volume 2, issue 2, pp. 68-76, April 2023. |
|
الملخص |
Although real-time facial emotion recognition is a hot topic research domain in the field of human-computer interaction, state-of-the-art available datasets still suffer from various problems, such as some unrelated photos such as document photos, unbalanced numbers of photos in each class, and misleading images that can negatively affect correct classification. The 3RL dataset was created, which contains approximately 24K images and will be publicly available, to overcome previously available dataset problems. The 3RL dataset is labelled with five basic emotions: happiness, fear, sadness, disgust, and anger. Moreover, we compared the 3RL dataset with other famous state-of-the-art datasets (FER dataset, CK+ dataset), and we applied the most commonly used algorithms in previous works, SVM and CNN. The results show a noticeable improvement in generalization on the 3RL dataset. Experiments have shown an accuracy of up to 91.4% on 3RL dataset using CNN where results on FER2013, CK+ are, respectively (approximately from 60% to 85%). Keywords: Facial Emotion Recognition; Dataset; Deep Learning; Computer Vision. |
|
رابط البحث كاملاً |
