Lilly’s Status Report for 4/19/2025

Things done this week:

  1. Tweaked angle calculation code more to account for the weirdness at the 90 degree angle mark. Tried a bunch of different calculation methods again, ultimately moved to a smaller Kalman filter that I could tune properly instead of a black-boxed Arduino library filter. Tuned the filter to make the outputs less noisy while still getting to the extreme angles.
  2. Debugged calibration commands between server and Pi. Should be finalized now.
  3. Finished hat assembly, for real this time (made some straps with buttons to hold the components in place).
  4. Started video testing with Kinovea to get a more quantitative sense of how to fine-tune the filter. Got a 10 min and 30 min sample (was going for an hour but I forgot to turn automatic sleep off on my computer…). Did the testing with 2 different people so far.
  5. Worked on the final presentation slides.

 

Progress?

Still in testing/benchmarking/tweaking mode since debugging stuff with the angle calculation took a little longer. The results from the first 2 testing sessions should be out today but I thought I’d type up this status report first.

 

Deliverables for next week:

  1. Set up “demo” and “real use-case” modes
  2. Finish testing over longer (1 hr) periods of time, and further tweak filters as needed.
  3. Finish final documents… 

 

Learning?

I got a lot more familiar with the Arduino IDE and Python programming to get all the coding done for this part of the project. Luckily there were a lot of relevant Arduino libraries (particularly for bluetooth control and sensor drivers) so I was able to modify much of the example code to make it work for this application, along with adding the extra things I needed. I also learned about different angle estimation methods, including complementary, Kalman filters, and just doing trig on the acceleration vectors. This involved reading a lot of forum posts about the filters, and papers comparing the methods/explaining their disadvantages and advantages. Another thing I learned was how to use HTTP post and get requests, since I had never done that before and we needed a way to send data to and from the server. I learned this from my teammates, googling, and guess-and-checking with print statements to debug. One tool that I learned about for this project was Kinovea, which isn’t actually great for automatically tracking angles but that’s fine since I’m just going to manually measure them using the software anyway. The docs for Kinovea and the user interface are fine so I didn’t have to do much external research to figure out how to use the tool.

 

No images since I haven’t processed/analyzed my data yet :,,)

Here is a snippet of a testing session to demonstrate the setup:  https://drive.google.com/file/d/1BQTXiCdb4EkZl6gPwkAzyboGbDKy8ZFB/view?usp=sharing

Team Status Report for 4/12/2025:

What are the most significant risks that could jeopardize the success of the project? How are these risks being managed? What contingency plans are ready?

  1. For the seat module, one risk is the results of our current lean-detection algorithm being overly variable from person to person, due to different weights or ways of sitting on the seat. This risk is being managed by testing with many different people to see what the variability looks like and refine our algorithms accordingly.
  2. In the neck module, one risk is the accumulation of errors over a longer work period. So far, the angle calculation has been tested by moving the sensor around over a short period of time, and keeping the sensor stationary (on a breadboard) over a long period of time to see if the angle drifts up or down. These tests have yielded positive results, but the system has not yet been tested on a moving user over a long period, which is what we will do this week. While the sensors have been calibrated for drift on a breadboard, this error is correlated with temperature so it may change as a user wears it for a long time. This risk is just being managed by testing. If we find that the angle calculations are indeed getting worse, we can implement a more complicated recalibration procedure (where the sensor offsets are actually recalculated). However, I doubt that temperature changes will be that problematic since we’ve worked hard to give the sensors good airflow and distance from the user’s skin.
  3. Within the browser extension, one risk is the security concerns associated with running third-party code to display the graphs. This risk is being mitigated by sandboxing the code that uses this third-party code!

 

Were any changes made to the existing design of the system (requirements, block diagram, system spec, etc)? Why was this change necessary, what costs does the change incur, and how will these costs be mitigated going forward?

  1. Decided to handle all of the user<->neck system interaction on the Pi instead of offloading that computation to the ESP32 as originally planned. This was mostly a result of wanting to speed up debugging/testing time, as compiling python scripts on the Pi is much faster than compiling using the Arduino IDE, and this allows us to test the neck system in a wireless mode. The original plan to do more on the ESP32 was in place because I thought I would have to completely redo the sensor offsets each time the user wanted to recalibrate, but this turned out to be unnecessary. This change also reduces the amount of power consumption on the ESP32’s end and reduces the latency between user calibration command -> change in reported angles, so it’s overall a win. No extra costs incurred.
  2. Changed the plan for laying out all the components on the hat. Originally the goal was to minimize the wiring between components, but this meant the hat’s weight distribution was awfully lopsided so I just worked on making the wiring neater. I also switched to using velcro to attach the pockets holding the parts instead of a more permanent attachment (sewing or superglue) to allow for some flexibility if I need to move something. No additional costs since I already had velcro.
  3. Using a battery instead of a wall plug to power the circuitry for the sensor mat (not including the Pi). No additional costs as we also had batteries lying around. 

 

Provide an updated schedule if changes have occurred.

It seems we have arrived at the “slack time” of our original schedule, but we are in fact still in testing mode.

 

System Validation:

The individual component tests (mostly) concerning accuracy (reported value vs. ground truth value) of each of our systems have been discussed in our own status reports, but for the overall project the main thing we’d want to see is all of our alerts working in tandem and being filtered/combined appropriately to avoid spamming the user. For example, we’d want to make sure that if we have multiple system alerts (say, a low blink rate + an unwanted lean + a large neck angle) triggered around the same time, we don’t miss one of them or send a bunch at once that cannot be read properly. We also need to test the latency of these alerts when everything is running together, which we can do by triggering each of the alert conditions and recording how long it takes for the extension to provide an alert about it.

Lilly’s Status Report for 4/12/2025

Items done this week:

  1. Sewed all the pockets for the parts on the hat, finalized the layout of all the components, and soldered ESP32 to IMU so they can be inserted into the hat without terrible wires sticking out.
  2. Wrote/tested recalibration code using server<->Pi communication, and synchronized this with requests from the browser extension. I decided to just handle all the recalibration on the Pi since I realized the process doesn’t have to be that complicated to work properly.
  3. Implemented simple low pass filtering (just a moving average) to kill some of the bumpiness in the angle data. Still using the Kalman filtering/sensor fusion algorithm from the interim demo. Seems to work well enough (main thing is it doesn’t drift up/down at rest) but I need to test with a camera instead of just eyeballing to see how accurate the “real-time” angles are.
  4. Tweaked code for sending alerts to avoid over-alerting the user.
  5. Tested and debugged wireless setup for hat system.
  6. Roughly tested with a person wearing the hat.

Progress

Ready to start verifying the angle calculations at this point now that everything is attached to the hat and the wireless mode is fixed, so I’m not too behind schedule. One unfortunate thing is that the JST connectors I ordered ended up not being the right size so I will have to do some more soldering on Monday to extend the connector on the battery. This is not too much of a roadblock for testing, since there’s a convenient little flap on the hat that the battery can be tucked into, close to the ESP32. And, the soldering job will be quick anyway. Overall I don’t think there will be an issue with finishing the final tweaks + testing of this subsystem in time for the final demo.

Deliverables for next week

  1. Make components more secure on the hat + solder extension wires to battery connectors
  2. Test calculated angles with a camera
  3. Configure a demo and “real” mode.

Verification

  1. User testing with the hat – have someone wear the hat and do some work at a computer, record from side view (~10 min), calibrate ~90 degrees (upright) as starting position, have a screen with the current angles being printed in the frame, take a sample of ~20 frames from the video, use an image analysis tool (e.g. Kinovea) to get a ground truth angle to compare the “real-time” data with. Test “passes” if the ground truth angle and calculated angles are within 5 degrees in all frames. I also want to repeat this test on a user working for an hour, and take an even sampling of 20 frames across this hour to see if the accuracy gets worse over time.

Video of initial testing (this still with the jumper wires, forgot to re-record with soldered version):  https://drive.google.com/file/d/1_j-dwfMfuiTcbsXzWj6ul1kb8jZTK9rN/view?usp=sharing

Here’s the layout of parts on the hat, from the middle of my adventures in sewing earlier this week:

Lilly’s Status Report for 3/29/2025

Items done this week:

  1. Fully fixed the BLE communication from ESP32->RPi (ability to send the full float at once instead of separate bytes, which was a problem for some reason last week). Pi->server communication for sending over the angle data as received from the ESP32 is set up as well.
  2. Tested sensor fusion algorithms to improve the angle calculations using the acceleration, gyro, and magnetic field data). These readings are still a bit buggy so I still need to implement some filtering on the sensors readings + calculated outputs so the values being sent to the extension do not jump up and down so much. However, they’re still a lot better than last week and get a lot closer to the correct angle, especially when moving the sensor slowly.

Progress?

I had hoped to have much cleaner angle data by now so I would say I’m still behind on that front. I also did not have time to fix the Pi->ESP32 sending issues as I focused on the angle calculation algorithms more this week. However, this is not that much of a problem as the main thing that the Pi/server needs to communicate with the ESP32 is when to start calibration, but this can just be synced with the timing of the Pi’s connection to the ESP32 via Bluetooth (instead of sending some value to indicate the calibration start). Still, I find this messy and I would like to implement the Pi->ESP32 control in the coming weeks so the “user” (and us developers…) can recalibrate/restart sampling via a command in the browser extension. I also decided to not start assembling the hat since our real visor order hasn’t come in yet, and I didn’t want to waste time making something that wouldn’t be in our final product, even though the interim demo is on Monday.

For the interim demo, I would like to have a cleaner (and more accurate) stream of angle data available to send to the Pi/extension, and implement some way of zeroing out the angle/recalibrating mid-run (ideally controlled from the extension).

Deliverables for next week:

  1. Further improve angle processing code (probably need more low-pass filtering on output and input data)
  2. Start assembling the components on the hat when the visor comes in.
  3. Figure out the BLE (Pi->ESP32) issues so calibration can be more streamlined.

https://drive.google.com/file/d/1wddo5KdtA5FNAKvYoB1es1snJE4sNH3T/view?usp=sharing 

Video of the calculated angles when rotating the board from 0 -> 90 degrees in one direction (board offscreen). You can see that it’s still a bit off (only reaches -80 to -85 degrees at the “90 degree” point) and oscillates quite a bit before stabilizing when I stop moving. One good thing is that I’ve calibrated the gyroscopes more extensively so there’s a lot less drift (changing angle when the sensor isn’t even moving).

Team Status Report for 3/15/2025

What are the most significant risks that could jeopardize the success of the project? How are these risks being managed? What contingency plans are ready?

  1. Getting the different systems using the Pi to run at the same time and still meet our latency requirements. We are still working on unit testing each part but we will be putting the code together (hopefully) ~next week. If the system becomes really slow with the RPi bluetooth sender/receiver running, we’ll have to find places to simplify our code and the data being sent to the server at a time. Currently the latencies for sending just the foot sensor readings to the server and the extension reading data from the server are pretty small, so we are not too worried. Power draw may also be a concern when we have more computation being done,  since our Pi already gets wickedly hot before we even run anything. In terms of safety we can manage this risk by keeping the Pi very far from the user when we put the mat together. We thought about having some sort of casing to protect the user, but realize this would also worsen the heating problem.
  2. Managing the bluetooth connection between ESP32 and RPi. Setting this up is taking a little longer than expected (at least as of the time of writing this team report – the work continues today…) due to some unexpected incompatibilities with some of the packages we tried to use. However, we’ve already successfully tested two-way communication from the ESP32 and the nRF connect app (just downloaded on a phone), and we’ve set up a BLE scanner on the RPi with compatible libraries to test today. If we completely fail at setting this up, we could try connecting to the server via Wifi directly to send/receive data. However, this is probably way more work than using bluetooth (and would likely destroy our power requirements) so this is more of an absolute-worst case plan. We also expect the BT to be figured out soon, as there is a decent amount of documentation on this.

Were any changes made to the existing design of the system (requirements, block diagram, system spec, etc)? Why was this change necessary, what costs does the change incur, and how will these costs be mitigated going forward?

Instead of using a breadboard to do the wiring of the foot sensor mat, we’re using a protoboard with a 3/5V regulator + voltage divider circuits + pin headers soldered on. This was needed to make connections easier to reconfigure and keep our wiring more organized/scalable (even just connecting 2 foot pads using the breadboard was already pretty burdensome). No costs were incurred since we already had the protoboards from a previous project.

Provide an updated schedule if changes have occurred.

As of right now, no schedule changes are needed. Integration is underway to set up communication between all our components, though we are still also working on getting the data sent from each part to be what we want.

Lilly’s Status Report for 3/8/2025

Items done:

  1. Wrote/tested initial angle calculation + user calibration code for the ESP32. Changes in angles reported are broadly correct but a lot of refinement is needed to make this usable.
  2. Finished the design report, which ate up most of the week before break.

 

Unfortunately my progress is a bit behind schedule, as I had aimed to have written and tested a basic BLE script for sending data between the ESP32 and RPi by now, and have a more stable version of the angle calculation code as well. I think the angle calculation code shouldn’t take too long since I know what I want to implement to fix the drifting values, so I will likely have enough time this week to figure out the RPi communications after coming back from break and getting a midterm over with. I had also wanted to put in an order for the non-electronic hat parts before the break, but this will be done on Monday now. We may also use a random hat we have, and fabric from Techspark to prototype for now if these parts do not arrive soon.

 

Deliverables for next week!

  1. Add complementary filtering to the angle calculation algorithm, and try offsetting drift values in the code. Also see how much the data improves from averaging over two sensors to decide if this is worth doing.
  2. Write BLE script for the communication to the RPi and set up calibration flow in the code (need to work with Cora for UI parts).
  3. Order a hat and mesh fabric for the wearable parts.

Team Status Report for 3/8/2025

What are the most significant risks that could jeopardize the success of the project? How are these risks being managed? What contingency plans are ready?

The most significant risk is currently the integration between the sensors and the browser extension. Specifically, sending signals to and from the extension to the sensors, and this updating the workings of both accordingly. These risks are being managed by working on this integration early – the local hosted server is already set up and the requests to / from the sensors to the server have already been implemented. We plan on working this week on integration, and dealing with any challenges as they come up, specifically being able to pivot from the Node.js which we are currently using to flask if needed to ensure the integration works.

 

Were any changes made to the existing design of the system (requirements, block diagram, system spec, etc)? Why was this change necessary, what costs does the change incur, and how will these costs be mitigated going forward?

A change was made to how the sensors are interacting with the RPi. Due to a discrepancy found between the datasheet and the ADC parts, we found that we could not use 4 adcs are originally intended. Instead, we are using a 16:1 MUX and a singular adc, and selecting which input from the mux to read, then forwarding that to the ADC and then the Pi. This did not incur any costs, as one of the team members was able to scavenge this mux and therefore we did not need to order anything.

 

Provide an updated schedule if changes have occurred.

As of right now, no schedule changes are needed. 

 

Part A was written by Kaitlyn:

With consideration of global factors, StrainLess can impact people outside of Pittsburgh. Since the product can be easily reproduced, it can be used around the globe, not only at CMU. Anyone with access to Chrome is able to download our extension, and making / potentially buying the pressure mat which comes along with it is feasible. Even with people who are not technologically savvy, after having installed the browser extension they will have a very friendly user interface with charts and graphics which are easily understandable. As well, people who are not in an academic environment can still use our product, as it is meant for anyone who spends time at a desk – this could be office workers, gamers, or people who work from home.

 

Part B was written by Cora :

StrainLess will support the 9-5 work culture that exists in the United States by improving the quality of life of those who work at a desk. Being hard-working and self-sufficient are core beliefs held by people from the United States that many people feel define who they are and StrainLess will be conducive to this way of thinking by reducing the pain of these people that they likely feel they just need to deal with as part of their lives. StrainLess’s UI will be in English, but with intuitive controls and notifications so even if people do not speak English if they have a good idea of what the product does, they will still be able to use it. Regarding laws, StrainLess does not break any laws and in fact could improve workplace safety if implemented in an office setting.

 

Part C was written by Lilly: 

The main environmental goal that StrainLess supports is waste reduction by not having disposable parts in our final user product. While we also are designing our wearable parts to use low power, this is more for safety and functionality than environmental considerations since the magnitudes/scales for microcontroller power consumptions overall are very small. But, we have avoided the use of any disposable components in our product by using rechargeable batteries instead of single-use ones, making sure to include a charging port on the microcontroller board so the user does not have to acquire more materials to charge. All other components are powered by a wall/outlet supply or are just run on the user’s computer’s battery so they would not require any disposable power supplies either. Although LiPo battery recycling exists, it’s not available everywhere, and reduction of resource consumption in the first place tends to be more sustainable than recycling since the recycling process in itself is imperfect and takes up a lot of energy anyway. This reduces our product’s (negative) environmental impact by not requiring the user to have to dispose of batteries, which can be very toxic to the environment if done haphazardly. 

Lilly’s Status Report for 2/22/2025

Items completed this week:

  1. Tested the ESP32 microcontroller to make sure it worked alright (could be flashed with an example program, didn’t overheat). Researched different development environments (PlatformIO, Arduino) but ultimately decided to stick with the Arduino IDE for simplicity and ease of connecting to our specific microcontroller. I initially had concerns about the compiled code size using the Arduino IDE vs. other platforms but there should be more than enough memory on the board to handle this!
  2. Presented our design review to the class.
  3. Soldered pin headers to the ESP32 and the LSM9DS1 sensors so I can start breadboard prototyping and setting up I2C communications between them.
  4. Researched how to set up the BLE connection from the ESP32.

The I2C setup will hopefully be done tomorrow (on Sunday)! Along with connectivity checks for my soldering… Otherwise I’m pretty on-schedule, especially since I have all the necessary parts now.

 

Deliverables for next week:

  1. Finish up the design report.
  2. Test sending data over BLE between RPi and ESP32.
  3. Code up initial filtering/data processing algorithms for the gyro sensor data.
  4. Design mounting system for hat.

Lilly’s Status Report for 2/15/2025

This week, I completed the following items:

1. Researched, finalized, and ordered materials for the neck angle-calculation module. These included the gyroscope/accelerometer module, an ESP32-C6, and a battery to power these components. I also researched the communication protocols that I will need to configure and use to send data from the sensor to the ESP32 (I2C), and from the ESP32 to the main microcontroller (BLE).

2. Researched objective measures for determining poor neck posture. I hope to implement an approximation of craniovertebral angle, which is actually used for diagnosing forward head posture, but this will require good positional calculations from the accelerometer, which may not be feasible. To achieve this, I researched methods of improving calculation accuracy for angle/position, including Kalman filtering. An alternative threshold for neck strain is simply a 15 degree downward rotation of the neck.

3. Updated the design of the neck module to use a cap/visor instead of a neckband to improve wearability, comfort, and ease of component layout.

 

4. Tested and did initial calibrations on the OpenCV Python script that we will be adopting for the blink detection part of this project. From this testing, I confirmed that rudimentary blink detection worked, and identified areas that we will need to improve upon and modify to meet our use-case requirements. These included support for single-eye blink detection, ensuring that our rate-calculations do not factor in time where neither eye is in view of the camera, improving functionality in dimmer lighting, and improving landmark detection for glasses-wearers. However, as difficulties with running a Python script from the browser extension arose, Cora will be working on converting the script to JavaScript using OpenCV.js.

5. Prepared slides and presentation for the upcoming design review. 

A couple of my deliverables from last week were not completed unfortunately (figuring out the Bluetooth implementation between ESP32/RPI, and drafting code for gyroscope calculations), as I spent much more time than expected on researching and selecting a microcontroller, and working on the design review presentation. However, these two items would be more effectively completed with the parts in hand, so this isn’t super detrimental to our schedule.

 

Deliverables for next week:

  • Present design review and write design report.
  • Set up the development environment for flashing the ESP32.
  • Research how to implement bluetooth communication between ESP32 and RPi. If ESP32 arrives on Mon/Wed, work on actually setting up this connection too.
  • If sensors arrive as well, start setting up the I2C interfaces and test sensor reliability.

Team Status Report for 2/15/2025

PART A (Cora) 

In regards to health, StrainLess has the potential to improve peoples physiological health. It is well established in the medical community that poor posture causes back pain and that staring at a screen for extended periods of time causes eye strain. With StrainLess, users receive an alert when they are exhibiting poor posture/eye strain which remind them to correct their posture and/or take a break from their screen which builds healthier habits and will therefore help them feel physically better. Psychologically, physically feeling better helps people have a better mood. Especially with things like chronic back pain and headaches associated with prolonged computer usage, which can negatively impact peoples’ emotional wellbeing. In regards to safety, StrainLess will be built with the user’s safety in mind. Specifically, we are ensuring that the electronics are safe and do not get too hot and burn the user’s skin by testing our product. We also are using bluetooth for communication between devices to prevent cords from getting caught. In regards to welfare, StrainLess helps meet the basic needs of people living in modern society because for many people working 9-5 jobs they are sitting at a desk and this is our target demographic for StrainLess. StrainLess will help these people reduce their back pain and eye strain.

PART B (Kaitlyn)

StrainLess is meant for people across different organizations. Our product is meant to help anybody who works at desks for extended periods of time, whether that be office workers, gamers, college students, or anybody else. We want our product to be available to those people who have difficulty maintaining good habits while sitting at a desk. Our solution approach also attempts to be as affordable as possible, so more people can use our product. We also did not want our solution approach to have any negative social impacts. In order to achieve this, we are ensuring that there is no personal data being stored about the user, and that every individual user gets the same experience. We increased our weight range to ensure as many people as possible could use the pressure sensors, and chose a CV model which is trained on a very socially diverse data set in order to ensure accuracy in CV across the entire range of users.

PART C (Lilly)

With respect to economic factors, StrainLess can improve office productivity – and therefore revenue, hopefully – by reducing the strain associated with working at a desk for long periods of time. While it would be ideal for people to not have to work at a computer all day, this is often unavoidable, especially with the rise of remote, work-from-home jobs. Since people can become very focused on their work sometimes, it can be easy to forget to take breaks, or remain in an ergonomic position for a long time, leading to severe pain when these habits persist for weeks or months. By providing gentle alerts that make the user aware of strain-inducing behaviors, we can help people mitigate eye and muscle strain – all while allowing them to continue being productive, as our system tray notifications do not require the user to stop what they are doing to manually shut them off. It’s often difficult to work when in pain, or suffering from “computer vision syndrome” (blurred vision, headaches, dry eye), so prevention of these issues is key to improving productivity. In the long run, users will also financially benefit from StrainLess as they can save money on doctor’s visits and medical items (e.g. braces) by building better work-health habits. 

RISKS + CONTINGENCIES

One of the most significant risks that could jeopardize the success of our project right now are delays in receiving our parts, as many of our next tasks cannot proceed without having the physical components to test. We are managing these risks by attempting to get as much done as we can with the parts that we do have so we are ready to go when the rest arrives. Specifically, we are working on setting up the local server on the Raspberry Pi that we already have so we can get to work on setting up Bluetooth and a server request system for the ESP32 and browser extension, respectively. Another risk we are facing is poor sensor reliability, specifically for the gyroscope modules, when they come in. As a contingency plan, we may have to incorporate multiple different sensor values into our calculation algorithms, as is done in Kalman filtering, for example. Our last potential risk is difficult with setting up the connections for the pressure mat, as the datasheet available online is somewhat sparse. To mitigate this risk, we have requested further documentation from the company and have been successful in receiving responses so far.

PROJECT CHANGES

Two main design changes have occurred since last week. 

  1. We have switched from buying individual pressure sensors and arranging them into an array ourselves, to buying a pre-wired pressure sensor mat, intended for feet. This change was necessary because the sensors we were initially looking at were very expensive (and had fewer sensors) and would require many more pins to connect to on the main microcontroller.
  2. Instead of a band going around the neck of the user to implement neck-angle calculations, we have decided to mount the gyroscopes, microcontroller, and battery onto a cap or visor. This was necessary so we could fit all our components onto something more wearable and comfortable. Also, since most of our components for the neck angle module operate optimally at 25 degrees Celsius, having the band so close to the wearer’s skin – on one of the warmest parts of their body, and potentially insulated by long hair – would have been problematic. This also helps with safety concerns relating to overheating components in contact with the user’s body, and allows us to slightly raise our weight requirement for this module since we can afford to put more items on a hat than a small band. This hasn’t caused us significant extra costs, as we would have had to buy a neck cuff to mount our components on anyway. A short-billed baseball cap or visor is likely to be similarly priced.

SCHEDULE

Although there were design changes, our schedule remains the same as we expect to get some of our parts this week.