MediaPipe-Hand-Gesture-Recognition
Real‑time hand gesture recognition optimized for mobile and edge.
The MediaPipe Gesture Recognizer is a real‑time machine learning pipeline that detects hands, predicts 21 hand landmarks, determines handedness (left/right), and classifies gestures from a predefined set
Not supported
This model is currently not supported on any Mobile chipset.
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View for other chipsetsTechnical Details
Input resolution:256x256
Number of parameters (palm_detector):1.76M
Model size (palm_detector) (w8a8):2.05 MB
Number of parameters (hand_landmark_detector):2.72M
Model size (hand_landmark_detector) (w8a8):3.12 MB
Number of parameters (canned_gesture_classifier):143K
Model size (canned_gesture_classifier) (w8a8):180 KB
Model size (palm_detector) (float):6.75 MB
Model size (hand_landmark_detector) (float):10.4 MB
Model size (canned_gesture_classifier) (float):577 KB
Applicable Scenarios
- Gesture Control
- Virtual Reality
- Gaming
Supported Mobile Form Factors
- Phone
- Tablet
License
Model:APACHE-2.0
Tags
- real-time
Supported Mobile Devices
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- Samsung Galaxy S22 5G
- Samsung Galaxy S22 Ultra 5G
- Samsung Galaxy S22+ 5G
- Samsung Galaxy S23
- Samsung Galaxy S23 Ultra
- Samsung Galaxy S23+
- Samsung Galaxy S24
- Samsung Galaxy S24 Ultra
- Samsung Galaxy S24+
- Samsung Galaxy S25
- Samsung Galaxy S25 Ultra
- Samsung Galaxy S25+
- Samsung Galaxy Tab S8
- Snapdragon 7 Gen 4 QRD
- Snapdragon 8 Elite Gen 5 QRD
- Xiaomi 12
- Xiaomi 12 Pro
Supported Mobile Chipsets
- Snapdragon® 7 Gen 4 Mobile
- Snapdragon® 8 Elite Mobile
- Snapdragon® 8 Elite Gen 5 Mobile
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
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