Week 10: Part 2 - Generating Feedback

This week I focused on Part 2 of my project: generating feedback from the motion data. Since the motion generated by OpenSense was not perfectly smooth, I decided to narrow my focus to two major components that could still provide meaningful and broad feedback: torso rotation and knee bend. Instead of trying to analyze every aspect of the swing, I wanted to prioritize movements that are especially important for power and consistency in tennis strokes.

Thankfully, this stage of the project went much smoother than the earlier debugging process. Once the motion data was converted into .mot files, it became relatively straightforward to tweak and analyze the values generated by the code. To test the system, I recorded three different swings: a “good swing” that included proper torso rotation and knee bend, a “no-torso” swing with limited upper body rotation, and a “no-knee” swing with minimal knee bend. After running the code on each trial, the feedback system was able to successfully identify the differences between the swings and generate the expected results!!