Papers with Code · CC BY-SA 4.0

Emotion Recognition

369 평가 기록 71 datasets

Emotion Recognition is an important area of research to enable effective human-computer interaction. Human emotions can be detected using speech signal, facial expressions, body language, and electroencephalography (EEG). <span class="description-source">Source: Using Deep Autoencoders for Facial Expression Recognition </span>

하위 태스크

ER Emotion Recognition in Conversation 16 데이터셋 · 227 rows SE Speech Emotion Recognition 21 데이터셋 · 55 rows ME Multimodal Emotion Recognition 7 데이터셋 · 20 rows ER Emotion Recognition in Context 4 데이터셋 · 16 rows VE Video Emotion Recognition 2 데이터셋 · 10 rows EC Emotion Cause Extraction 1 데이터셋 · 8 rows FE Facial Emotion Recognition 2 데이터셋 · 6 rows EE EEG Emotion Recognition 3 데이터셋 · 4 rows EP Emotion-Cause Pair Extraction 2 데이터셋 · 2 rows AC A-VB Culture 1 데이터셋 · 1 rows AH A-VB High 1 데이터셋 · 1 rows AT A-VB Two 1 데이터셋 · 1 rows