Week 11: Concluding Thoughts

Wow. I can’t believe we’ve already reached the end of this project!! This project was definitely not a linear process, and I learned so much through it. There were a lot of setbacks along the way, and trial and error became a huge part of the experience. Even if things didn’t work the first time, I kept pushing forward by troubleshooting bugs, tweaking my code, recalibrating sensors, regathering data, and making sure the entire pipeline became more streamlined and reliable.

One thing I realized is that the first half of the project—collecting, converting, and debugging the IMU sensor data for OpenSense—took much longer than I originally expected. Because of this, I had less time to fully explore the second half of the project, especially the analysis and feedback side. If I had more time, I would want to gather a much larger dataset of swings and analyze additional parts of the body beyond the areas I focused on in this project.

In the future, this system could be improved in several ways. More sensors could be added to capture a fuller representation of body movement, and larger datasets could help improve the consistency and accuracy of the analysis. The feedback system could also become more advanced by incorporating machine learning or AI models that compare a player’s motion to professional biomechanics. Overall, this project showed the potential of wearable technology in sports training and how engineering can be used to make athletic feedback more accessible and data-driven!!

Thanks so much for following along my journey!!