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21h 56m 52s logged

#Devlog: Glove A Done!


Finally wrapped up Glove A!


I don’t think I’ve ever spent this much time continuously debugging a single part of a project before. Since yesterday, I’ve probably put in around 20 hours trying to get everything working properly.

Every time I fixed one issue, another one appeared.


It started with the flex sensors. Two of them suddenly became unresponsive and started giving completely unreliable readings. Since the whole glove depends on accurately detecting finger movements, that basically meant the gesture recognition stopped working. After a lot of testing and checking connections, I ended up replacing both sensors.


Then the DFPlayer decided to stop working.

Naturally, I assumed it was a code issue and spent way too long looking through my program trying to figure out what I had broken. Turns out the code wasn’t the problem at all. The SD card had somehow become corrupted, which meant none of the audio files could be read.

So after replacing and setting up the SD card again, the audio finally came back.


At that point I thought I was done.

I wasn’t.


The OLED display suddenly stopped working.

After even more troubleshooting, I found a wiring issue along with an address conflict that was preventing the display from communicating properly. A few rewires, some code changes, and a lot of patience later, the screen finally came back to life.


After all of that debugging, soldering, rewiring, replacing components, and questioning my life choices, I’m finally here.


Glove A is designed to help people with speech impairments communicate more easily. The glove recognizes hand gestures and converts them into pre-compiled speech.

For example, bending a specific finger can trigger a phrase like “Hello”, and the glove will immediately speak it through the onboard speaker. Different gesture combinations can be mapped to different words or sentences, allowing the user to communicate quickly without needing to type or press buttons.


I’ve attached a video showing the glove working in real time.

In the demonstration, the glove detects the gesture, processes the finger positions from the flex sensors, matches it with the corresponding phrase, and instantly plays the audio output.


This project might look simple from the outside, but getting all the sensors, audio modules, display, and processing logic to work together reliably was a much bigger challenge than I expected.


Seeing the glove finally recognize gestures and speak them out loud made all those hours of debugging worth it.


With Glove A now complete and Glove B already working, Now it’s time to focus on Visora and bring the final part of the system together.

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