This week, we made some more substantive progress on the actual website. Two of our capstone members have gotten the server to accept real time input from the swimmer, and output a graph of splits on the localhost. We found this task quite challenging, but got it done nonetheless.

The one thing we need to implement is a stroke classifier. In order to do this, we plan to input the relative positions of body parts of a swimmer with respect to the bounding box for “k” frames. The best way to approach this would be to do limb detection, and then input to a NN those floating point values, relative position of body parts with respect to the body parts. Once that has been inputted, we can apply softmax on four output nodes to classify one of four different strokes, and train our model accordingly.