| DC Field | Value | Language |
|---|
| dc.contributor.author | Orsik, S. P. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-08-01T07:26:38Z | - |
| dc.date.available | 2024-08-01T07:26:38Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.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. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/56795 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | emotionlQ | en_US |
| dc.subject | online platform | en_US |
| dc.subject | emotional intelligence | en_US |
| dc.subject | emotion recognition | en_US |
| dc.subject | image processing | 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: | 60-я научная конференция аспирантов, магистрантов и студентов БГУИР (2024)
|
