interactive-gesture-recognition's People
interactive-gesture-recognition's Issues
Write script with responses dependent on animations.
Test states with given gestures.
Apply supervised learning
- Predict the 6 gestures from the images by creating, training a new CNN model. Then evaluate the accuracy of the model on the test set.
Predict landmark positions by using the trained CNN model
- The model predicts the landmark positions by using probability map and extracts 22 points maximum if the point pixel value is above the threshold of 0.1. But our model must detect at most 20 points.
Make animations for states.
CNN model on gesture recognition
Predict landmark positions from scratch
The algorithm can be as follows:
- Convert RGB image to HSV format
- Apply HSV thresholding to the image and determine the range which draws only the hand.
- Get the largest contour which will be the hand.
- Draw the landmark positions by using the hand contou information.
Apply transfer learning
- Use already trained CNN model on hand gestures.
Determine how the robot interacts with the 6 gestures.
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