https://github.com/alcantarar/recurrent_grf_prediction
Repository supporting "Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: A recurrent neural network solution"
Science Score: 10.0%
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Low similarity (6.5%) to scientific vocabulary
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Repository
Repository supporting "Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: A recurrent neural network solution"
Basic Info
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- Stars: 9
- Watchers: 2
- Forks: 2
- Open Issues: 0
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Metadata Files
README.md
Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: A recurrent neural network solution
This repository supports Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: A recurrent neural network solution.
The final models and data supporting the published manuscript are archived here.
Contents
Train_LSTM.ipynb is a notebook that generates the model from the archived data.
Test_LSTM.ipynb is a notebook that shows you how to use the trained LSTM to predict GRFs from your own accelerometer data.
LSTM_Example.ipynb is a notebook that provides a tutorial of how a Long Short-Term Memory Network (LSTM) can be used to
predict ground reaction force (GRF) data from accelerometer data during running.
pre_processing.py contains helper functions used in LSTM_Example.ipynb and Test_LSTM.ipynb.
data/ Contains example accelerometer data, GRF data, condition/demographic data, and LSTM model file. Supports Test_LSTM.ipynb and LSTM_Example.ipynb.
If you're going to train an LSTM model using Google Colab (recommended), make sure
you utilize their GPU Runtime Type. You will need to adjust the path to data/ depending on how files are uploaded in
Google Colab.
Questions?
Open an issue if you have a question or if something is broken. You can also email me at the address listed in the associated publication.
Owner
- Name: Ryan Alcantara
- Login: alcantarar
- Kind: user
- Location: Stanford, CA
- Company: NMBL
- Website: www.ryanalcantara.com
- Twitter: Ryan_Alcantara_
- Repositories: 31
- Profile: https://github.com/alcantarar
Postdoc at Stanford Neuromuscular Biomechanics Lab (NMBL)
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