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lorenz-g / MoGeRe

Mobile hand gesture recognition for phones using accelerometer and HMM
MIT License
16 stars 3 forks source link

start.m4a / stop.m4a not accessible on your Dropbox #1

Open jnasti1 opened 7 years ago

jnasti1 commented 7 years ago

Just an FYI...I had to link in the github raw versions of these files by modifying the acceldatacollect/templates/discreteRecorder.html when running locally....

lorenz-g commented 7 years ago

Hi jnasti1, thanks for submitting the issue. It did still work for me locally, but maybe there were some issues with dropbox when you tried it. In any case it is better to use the files in the repository. I have replaced the dropbox links with the local ones.

Out of curiosity, what are you planning on doing with the acceleration data?

Regards, Lorenz

jnasti1 commented 7 years ago

Lorenz,

Thanks for the quick reply, even if this project hasn't been updated in quite some time!

I recently got into the 'maker scene' (e.g. Arduino, RPi, etc) and had purchased an accelerometer breakout board. I wanted to learn how to make sense of that data I was reading and I came across your project here. To be honest, I first thought you had a system here that would generate pictures of the motion that was captured (in addition to a matching confidence score). The pictures you have of the gestures with arrows misled me. But no worries, I'm learning a lot from what you have here!

It's cool that you took advantage of the WEB/JS accelerometer/gyo APIs to get everything recognized within a web browser. Your final project for the turning indicator looks like something I would be after, self-containing this logic to a MCU board. Did you ever post the details for that final project? What were the various boards used in that configuration?

Thanks for the help! Joe