A RandomForestClassifier trained on MediaPipe hand-landmark vectors to recognize 9 hand gestures for live robot control (movement + claw). forward, stop, backward, left, right, openclaw, closeclaw, default, none Input: a 63-length vector (21 MediaPipe hand landmarks x,y,z), normalized by translating to the wrist and scaling by the wrist-to-middle-finger-MCP distance. See gestureconfig.py for the label list and robot command mapping.
Independent publisher
Siritanakorn
Chanisorn
Models in Library1
Datasets in Library0
Models on Hugging Face8
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Published tasks: Robotics.
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