---

name: tune-detection description: Tune exercise detection sensitivity and thresholds. Use when exercises aren't counting correctly, have false positives, or need calibration adjustments. allowed-tools: Read, Edit, Grep

Tune Detection Thresholds

Common Issues

Threshold Locations

JSON configs (preferred):

Copyexercises/*.json → detection.thresholds

Legacy functions in exercise_ui.html:

• detectLegacySquat - DOWN_ANGLE, UP_ANGLE
• detectLegacyPushup - DOWN_ANGLE, UP_ANGLE
• detectLegacyJumpingJack - arm position relative to shoulders
• detectLegacyCalfRaise - legLength * 0.04 threshold
• detectLegacySideStretch - bodyScale * 0.4 threshold

Detection Helpers

The codebase includes helpers for robust detection:

Copy// Check if landmarks are visible
isVisible(landmarks, [23, 24, 25, 26], 0.5)

// Normalize to body size
const bodyScale = getBodyScale(landmarks);
const threshold = baseThreshold * bodyScale;

Testing Changes

1. Edit threshold in JSON or HTML
2. Restart tracker: ./exercise_tracker.py user_prompt_submit '{}'
3. Watch the status text - it shows live angle/distance values
4. Adjust based on when state transitions happen

Both-sides Averaging

For angle-based exercises, use joint_alt in JSON to average both sides:

Copy"landmarks": {
  "joint": [23, 25, 27],
  "joint_alt": [24, 26, 28]
}