This week was demo week so we worked as a group on integrating our individual setups and testing our prototype. Before the demo we had a small hardware problem that turned out to be a soldering mistake. Edward fixed this before our demo thankfully. We further worked on creating a better plan for our gesture detection algorithm. The new finger detection algorithm using the ML approach provided better accuracy than our before approach. Thus we are hoping that the new gesture detection algorithm we planned out would also provide better results.
We realized that our data was getting some lags between the hardware and the Webapp due to some spotty wifi problems in the lab. Professor Tamal mentioned during the demo that he could help us out with that, so we are planning to talk to him soon. Other than that we also planned out a list of things to add on the web application portion such as battery life, battery status, finger location. We are also planning to implement a new strategy in translating the data we get from gesture detection into smoother model translations. Because of the large amount of data and noise, we need to make the translations account for that. Thus we have planned out a new approach, and am also planning this week to implement it.
We are planning to mount our board to our wristband that we ordered soon (probably tomorrow). We got feedback from our demo session that we should see as soon as possible what live data taken from our arm would translate to in our model. Thus we are planning to test that as a group in the early week.
We think we are on track and currently refining the parts of our project.