Testing Our Models 2

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Testing our Yawn detection models

We face certain problems with the first yawn method. Usage of the Viola Jones algorithm fails to detect yawns. It detects closed mouths perfectly for all of our test cases - Different sizes and colours do not affect this method.

Classification based on colour fails terribly for the test cases where we do not have a stark difference in colour between the skin and the mouth.

Using the classifier with a small dataset gives us a high accuracy of 98 percent. On testing this model with images of different types - different lighting conditions different eye sizes, the accuracy drops drastically. Even on including different types of images in the training set, the accuracy is still about 80

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