Lakshmi’s Status Report 2/21/2026

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).

  1. Programmed shank with vibration commands through multiple LRAs via mux
  2. Set up Bluetooth data processing code pipeline on laptop (previously, could only receive IMU data through Bluetooth on the LightBlue app, now we can do post-processing on that data.)
  3. Tested max rate of Bluetooth data transfer (200 IMU data samples/sec) More than enough needed for FPA analysis calculations!!
Bluetooth receiving code on laptop, printing rate of samples received when wearable device is sending IMU data at max rate.

4.  Added VQF filter to process IMU data (mimicking what would be on the smartphone backend, not onboard the wearable device).

Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?

By the end of this week it was planned that we integrate the foot progression angle code with the IMU input. Our current implementation does send IMU data to the foot progression angle code, but we do not know its accuracy. I still need to test its accuracy (whether through a rudimentary on-person wearable setup or by moving the breadboard). I am still on schedule, as we have planned for slack time for this upcoming week.

What deliverables do you hope to complete in the next week?

While the thorough FPA testing (comparing with mocap) is planned for the week of March 9, I plan to use the Slack time we scheduled for this upcoming week to integrate the filter code onto the device, and verify the accuracy of the FPA measurements and gait stage detection through simple, rudimentary tests (i.e. changing the position of the breadboard and verifying the FPA measurement aligns, taping the current hardware to leg for rudimentary gait position detection tests).

During our group meeting with Iqui and Dr. Melissa Orta-Martinez of the haptics lab, they also mentioned that we could sync/confirm our gait stage detection algorithm with Apple Health’s step counter step detection, so I will be looking at that as well.

Leave a Reply

Your email address will not be published. Required fields are marked *