Affective Computing Calculator

Select Modalities

Facial Expression

Analyzes facial features to detect emotions

Vocal Analysis

Detects emotions from speech patterns

Physiological

Uses biometrics like heart rate, GSR

Model Parameters

Model Architecture

Training Dataset Size (images/hours)

Accuracy

Precision

Recall

F1 Score

Note: These estimates are based on typical performance of affective computing systems. Actual results may vary based on data quality and implementation.