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hand-gesture-robot-control
Chanisorn/hand-gesture-robot-control
hand-gesture-robot-control is a robotics model from Chanisorn. Use it for the robotics task on the model card, and read the license before you ship it in a product.
A RandomForestClassifier trained on MediaPipe hand-landmark vectors to recognize 9 hand gestures for live robot control (movement + claw).
Access
Public
Updated Sep 24, 2026
Repo size
6 MB
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0
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Repo makeup
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.joblib6 MB · 100%
At a glance
- Task
- Robotics
- Access
- Public
- Created
- Sep 24, 2026
- Updated
- Sep 24, 2026
- SHA
- 24522d79
Model card
From the Hugging Face model README
Hand Gesture Robot Control Model
A RandomForestClassifier trained on MediaPipe hand-landmark vectors to recognize 9 hand gestures for live robot control (movement + claw).
Classes
forward, stop, backward, left, right, open_claw, close_claw, default, none
Usage
import joblib
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(repo_id="Chanisorn/hand-gesture-robot-control", filename="gesture_model.joblib")
scaler_path = hf_hub_download(repo_id="Chanisorn/hand-gesture-robot-control", filename="gesture_scaler.joblib")
clf = joblib.load(model_path)
scaler = joblib.load(scaler_path)
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 gesture_config.py for the label list and robot command
mapping.
- Task
- Robotics
- Created
- Sep 24, 2026
- Updated
- Sep 24, 2026