As of now, the team has a functional web application that tracks swimmers’ splits and strokes. Moreover, it presents the additional functionality of delimiting stroke times on a continuous graph for users to see. Finally, our web-application also suggests workouts to swimmers, and allows clients to interface with it by picking a stroke and distance.

For our stroke classification, the ML portion of the project, we decided to opt for background subtraction + more pattern recognition to determine the appropriate stroke of our swimmer. The team found this approach more effective than the earlier approach of limb detection + relative coordinate input to a NN.

All in all, there is confidence that a decent capstone project will ensue, and we are looking forward to meet those ends…