Circle detected (94%)
TAKING CAPTURE IN 100%
SEARCHING FOR HAND...
Cursor: (0, 0)
FPS: 60
Particles: 0
System initialized. Ready to draw.
▶ DEVELOPER PERFORMANCE HUD
FPS
60
Tracking Confidence
98%
Detection Confidence
99%
Render Latency
14ms
Hands Tracked
1
Active Landmarks
21
Active Particles
0 / 300
Render Frame Time
4ms
Gallery
No snapshots yet. Hold closed fist (✊) for 1.5s to snap canvas screenshot.
🖐️ Gestural Classifications
This panel displays classification telemetry and stability queues inside JavaScript's recognizer loop.
🤏 Pinch-to-Sketch
👍 Thumbs Up (Confirm)
👎 Thumbs Down (Undo)
🖐️ Open Palm (Pause)
✊ Closed Fist (Command)
✌️ Two-Finger (Tools)
🔍 Recognition State Telemetry
[SYSTEM] Logger active. Waiting for hand data...
💫 Particle Engine Configurator
Configure parameters of client-side canvas rendering loops dynamically.
Select Visual Particle Theme:
🎨 Particle Sandbox Preview
🎬 Procedural Artwork Redraw Player
Replay your committed stroke sequences. Particles are generated dynamically matching the timestamps recorded.
Player idle. Recorded Strokes: 0
Elapsed Active Time
00:00
Committed Strokes
0
Classified Gestures
0
Cursor Pixels Traveled
0 px
📊 Smart Session Performance
Average Pipeline FPS60.0 FPS
Hand Landmark Tracking Accuracy99.2%
WASM Render Latency14.5 ms
SESSION DIAGNOSTIC ANALYTICS
[INFO] WebAssembly models successfully loaded.
[INFO] Object pool rendering active.
[INFO] Temporary particle buffers cleared: 0 leaks.
[INFO] Drawing coordinates bounds normalized successfully.
⚙️ Calibration Dashboard
Manually adjust boundary scales, click sensitivities, and smoothing multipliers inside WASM loops.