Week 7 Post 2

As I progressed on my project, I started researching classification methods for hand gesture recognition. As of today, I read a lot of research papers and articles about the KNN (k-nearest neighbors) classification algorithm and SVM classifier (Support-vector Machine). To be honest, after reading all the information about these classifiers, I still do not understand much about them or how they work. But I am not giving up, as I still have a lot to learn. I am pretty optimistic about getting more experienced with the classifiers by doing some simple exercises and also by seeking help in StackOverflow. Unfortunately, I do not have an option of a mentor explaining these concepts to me because my supervisor is currently in India. The only way of communication we have at the moment is through emails. So, this situation bothers me a little, but I still have hope of understanding it all by myself. The good news is there is progress that I have made in interpolation. I finally exported the images, and they seem to have their noise reduced. I emailed some examples to Mythra, but he said that they still could get better and have less noise. That is also what I am working on. Basically, I am looking for ways of using median filtering that could be applied to reading the text files with the data of x and y values. I tried to search for ways of doing it with axis scaling, but I did not understand the examples that I found when searching. It was a little stressful because I spent almost two hours doing that, and it was just a waste of time because it did not work at all. I do not look at it as something bad, though. It is still an experience, even if it was not as fruitful. In general, I am content with what I am doing and my progress.