- What did you personally accomplish this week on the project? Give files or photos that demonstrate your progress. Prove to the reader that you put sufficient effort into the project over the course of the week (12+ hours).
- This week I worked more on the hardware components and trying to make the signal look like the ones in our testing data. I also worked out a testing plan which involves a double blind between our microphone and our ML’s training data. The logic is that if the algo cannot tell the difference and a person cannot tell the difference (>80%), then the signal is about the same.
- I also helped out with the integration for our demo, getting all of the separate matlab components to connect with each other and worked on modularizing our code.
- Additionally, I looked into setting up the matlab code to work standalone with python so that way the stethoscope could work without being restricted to having a computer running matlab on it.
- I also created a team to-do list with our highest action items based on what we learned during the demo, and from the feedback we were provided.
- Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?
- Our progress seems to be on track, the next thing we need to do is get the testing working and sort out our process for doing so.
- What deliverables do you hope to complete in the next week?
- For next week, I am to have a working testing set up, and want to validate our process. I also would like to connect Eri’s shannon energy denoising algo with Ryan’s ML and hopefully that will make the accuracy higher.
- We also want to find approx 1000 more sound files so that we can train our ML more.
Carnegie Mellon ECE Capstone, Spring 2019. Team A4: Arihant Jain, Ryan Lee, Eri Sugita