This week, my team and I worked collaboratively on the design review slides. Since we changed the number of gestures to recognize from 5 common signs to 21 ASL letters, we had to make sure to include our new scope. With the expansion of the scope, I worked on changing my data generation algorithm to include the ASL letters. I have also examined best performing models I have used in depth, such as using different parameters, to see if they can perform better than the default models given.
We are a bit behind schedule because our orders did not all arrive until Friday, hence putting us behind in making the glove and getting real data. We may have to speed up and do some more work next week to ensure we can get consistent data from both types of sensors. This setback is quite minor in my opinion since we have already gotten started on glove building and pre-determining ML models can save us time in the future.
Next week, we will have the glove built and we will be able to get real data. I will work on processing those data to ensure they are suitable for model training. We will also sign some gestures to obtain a preliminary set of data. Using this data, I’ll be testing the models that I have identified to have the best performances with generated data to find which one does well on the real data and perform further fine tuning to improve their accuracies.