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Using Leap Motion Sensor to predict the American Sign Language(ASL) trained using custom signal features on SVM. Visualization, ML, Software Backend, Obj-Oriented Python

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ankurgupta7/asla-pub

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2016-group-15

Build Status

Installing Dependencies including PyQt5

sudo asla/setup.sh

Cloning the repo

git clone git@github.com:jhu-oose/2016-group-15.git

Running Tests

Connect the Leap Motion
cd 2016-group-15
nosetests asla/binary/ml_tools/tests/test_predict_service.py
nosetests asla/binary/ml_tools/tests/test_training_service.py
nosetests asla/server/binary_server_backend/tests/test_ASLAController.py
nosetests asla/server/binary_server_backend/tests/test_model_generator.py
nosetests asla/server/flask_website/tests/test_binary_helper.py
nosetests asla/server/flask_website/tests/test_FlaskWebsiteBackend.py
nosetests asla/server/flask_website/tests/test_user_admin_service.py

Steps to Run UI

  • Connect the Leap Motion Device
  • cd 2016-group-15/asla
  • chmod u+x main.sh
  • ./main.sh

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Using Leap Motion Sensor to predict the American Sign Language(ASL) trained using custom signal features on SVM. Visualization, ML, Software Backend, Obj-Oriented Python

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