| Title: | Emotioniq: emotion recognition by photo with neural networks |
| Authors: | Orsik, S. P. |
| Keywords: | материалы конференций;emotionlQ;online platform;emotional intelligence;emotion recognition;image processing;neural networks |
| Issue Date: | 2024 |
| Publisher: | БГУИР |
| Citation: | Orsik, S. P. Emotioniq: emotion recognition by photo with neural networks / S. P. Orsik // 60-я юбилейная научная конференция аспирантов, магистрантов и студентов учреждения образования «Белорусский государственный университет информатики и радиоэлектроники» : материалы конференции, Минск, 22–26 апреля 2024 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: В. Р. Стемпицкий [и др.]. – Минск, 2024. – С. 138–144. |
| Abstract: | The article provides algorithms for real-time face detection and recognition in complex backgrounds. A neural network based solution combined with image processing is used in classifying the universal emotions: happiness, sadness, anger, disgust, surprise and fear. The article proposes a prototype system EmotionlQ which automatically recognies the emotion represented on a face. The main stages of emotion recognition such as face detection, feature extraction and emotion classification are considered. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/56795 |
| Appears in Collections: | 60-я научная конференция аспирантов, магистрантов и студентов БГУИР (2024)
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