This week, the team came together to discuss our individual progress and to make plans going forward towards future deadlines, especially the Interim Demo. As mentioned last week, now that the team has had time to work on the actual implementation of the project, we decided to update our schedule to more accurately reflect the tasks and timeframes.
Here is the Updated Schedule.
Additionally, we also decided on a design change for our project. Originally, we planned on feeding full image data directly from our input camera into the gesture recognition model. However, since our approach for hand detection involved using pose estimation, which put landmark coordinates onto the detected hand in each image, we decided to instead use these landmark coordinates to train our machine learning gesture recognition model instead. All of the image data in the model dataset would first be put through our pose estimation module to obtain landmark coordinates on the hands of each image, and these coordinates would be passed into the model for training and testing. This should allow for a simpler model that can be trained quicker and produce more accurate results, since a set of landmark coordinates is much simpler than pure image data. This updated design choice is reflected in our schedule with an earlier pose estimation integration task that we are all involved in.
As we near the end of our project, integration does not seem to be as daunting of a risk and instead we need to plan ahead for how we will carry out our testing and verification. A new bigger risk now is for us to consider how to measure the metrics we outlined in the project requirements. For now, we will focus on finishing our planned product for the Interim Demo and start with testing on this interim product as we continue towards our final product.