MatthiasQuintern/teng-ml
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# Machine learning for material recognition with a TENG
(Bi)LSTM for name classification.
More information on the project are [on my website](https://quintern.xyz/en/teng.html).
# Machine learning for material recognition with a triboelectric nanogenerator (TENG)
This project was written for my bachelor's thesis.
It was written to classify TENG voltage output from pressing it against different materials.
Contents:
- Data preparation/plotting/loading utilites
- (Bi)LSTM + fully connected + softmax model for name classifiying TENG output
- Progress tracking utilities to easily find the best parameters
## Model training
Adjust the parameters in `main.py` and run it.
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## Model evaluation
Run `find_best_model.py <model_dir>` with the `<model_dir>` specified in `main.py` during training.