| DC Field | Value | Language |
|---|
| dc.contributor.author | Orsik, S. P. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-07-18T13:35:27Z | - |
| dc.date.available | 2024-07-18T13:35:27Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.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. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/56648 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | online platform | en_US |
| dc.subject | emotional intelligence | en_US |
| dc.subject | emotion recognition | en_US |
| dc.subject | neural networks | en_US |
| dc.title | EmotionIQ: emotion recognition by photo with neural networks | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Актуальные вопросы экономики и информационных технологий : материалы 60-й научной конференции аспирантов, магистрантов и студентов (2024)
|
