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TODO

Flex handle

Record new demo video. Previous version needed to use zipties, was quite large. Easy mounting onto toothbrush, without any tools. Tested on variety of brushes I could find in the store, from thinnest to the thickest. Printed in flexible TPU, using NinjaFlex

Zephyr firmware version

Using XIAO BLE Sense NRF52840. Initially with MicroPython, but with an aim to have pure C version.

Mini dataset v2

Get timeseries/video to work in LabelStudio
Record at least 3 sessions
Label all the sessions
Test data using the dataset and training pipelines
Improve the notes in data_collection.md

Running in C

Related https://github.com/jonnor/zephyr/blob/emlearn-sensor-readout/samples/modules/emlearn/sensor_reader/src/main.c

Implement gravity separation using eml_iir
Fixup the C feature extraction code.
Support running C feature extraction in pipeline. CSV, gcc, and subprocess
Setup/run evaluation pipeline on validation/testset on device. CSV
Test live predictions on device

Later

Port LSM6DS3 FIFO driver to C/Zephyr
Use .npy instead of .csv
Holder. Try add in emlearn logo on bottom

Multi-participant dataset

Ref data_collection.md

Get volunteers that are interested in participating
Do a trial run at home
Schedule a time to do the data recording

Pipeline improvements

Setup quantitative evaluation of the time tracking. Note, some starts in the notebooks. Cut out random selections of time-sections. Respect train/test folds.
Implement tests for state machine for sad case

More features

Bluetooth connectivity

Send prediction data over BLE. To phone
Support sending sensor data over BLE. For easier data collection.
Make a small PoC application on phone that shows data

Power management

Add battery voltage/power/percent tracking
Enable sleeping, test battery life