MindPulse Engagement Model

This model predicts child engagement score (0..1) from wearable physiological features:

• heart_rate
• hrv_rmssd
• motion_level
• hr_baseline
• rmssd_baseline

Training Target

• engagement_score

Data Processing Logic

• HR_norm = (heart_rate - hr_baseline) / hr_baseline
• RMSSD_norm = hrv_rmssd / rmssd_baseline
• arousal = normalize(HR_norm)
• valence = normalize(RMSSD_norm)
• engagement_score = arousal * valence (bounded to 0..1)

Usage

Load mindpulse_rf.joblib and run prediction with all 5 input features.

Repository: https://huggingface.co/AtharvaXX/mindpulse