To capture movement over time, is calculated between two consecutive frames. This process determines the magnitude and direction of pixel movement within the detected facial region. 3. Extract the Angle Feature
Gunes’s work often emphasizes , where facial features are combined with other modalities like body gestures or audio markers (e.g., MFCCs) to improve the accuracy of emotion recognition. ✅ Result To capture movement over time, is calculated between
offset). This ensures the machine can recognize when a gesture starts, peaks in intensity, and ends. 5. Fuse Multi-modal Data To capture movement over time