I spent this week researching model designs for gesture recognition as well as further research into datasets, though none were found that would improve upon the data provided by the dataset referenced in our project proposal: https://data.mendeley.com/datasets/ndrczc35bt/1
For model architecture it seems the most common and effective method would be a deep convolutional neural network (Deep CNN), as convolutional networks are incredibly effective at classification within image data science.
This places me well on schedule, as this week and next are slated for model design and I have set myself up for some experimentation with model hyperparameters this week.
Further, I spent time watching other teams’ design proposals and providing criticism and feedback.