| Title: | EmotionIQ: emotion recognition by photo with neural networks |
| Authors: | Orsik, S. P. |
| Keywords: | материалы конференций;online platform;emotional intelligence;emotion recognition;neural networks |
| Issue Date: | 2024 |
| Publisher: | БГУИР |
| Citation: | Orsik, S. P. EmotionIQ: emotion recognition by photo with neural networks / S. P. Orsik // Актуальные вопросы экономики и информационных технологий : сборник тезисов и статей докладов 60-ой юбилейной научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 22–26 апреля 2024 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2024. – С. 754–758. |
| Abstract: | The article provides algorithm s 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 EmotionIQ which autom atically recognises 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/123456789/56648 |
| Appears in Collections: | Актуальные вопросы экономики и информационных технологий : материалы 60-й научной конференции аспирантов, магистрантов и студентов (2024)
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