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A Computer Vision based model trained on data sets of over 300 inputs for a particular gesture is able to detect and identify human hands gestures effortlessly and is able to track the coordinates for further modifications in its usage for controlling devices like mouse and windows (control features are in development).

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kartikeya443/handgesture_detection_opencv

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Note: This model is trained and tested for 7 gestures at present. These are:

  1. A, B, C (American Sign Language)
  2. Hello (open hand with palm facing to the camera)
  3. Love (hand with index finger and thumb crossed)
  4. Yes (thumb's up)
  5. No (thumb's down)

Run Application

  1. Install project dependencies
pip install -r requirements.txt
  1. Run the application
python testing.py

Reference images:

A (Small) B (Small) C (Small) hello (Small) love (Small) yes (Small) no (Small)

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A Computer Vision based model trained on data sets of over 300 inputs for a particular gesture is able to detect and identify human hands gestures effortlessly and is able to track the coordinates for further modifications in its usage for controlling devices like mouse and windows (control features are in development).

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