https://github.com/shilpakancharla/terrain-identification
Given time series data from an accelerometer and gyroscope attached to the prosthetic lower leg limb of 10 subjects, we create two different models (1D CNN and bidirectional LSTM) to investigate if we can classify the type of terrain a user is traversing.
https://github.com/shilpakancharla/terrain-identification
bidirectional-lstm cnn lower-limb-amputations series-data terrain-identification
Last synced: 16 days ago
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Given time series data from an accelerometer and gyroscope attached to the prosthetic lower leg limb of 10 subjects, we create two different models (1D CNN and bidirectional LSTM) to investigate if we can classify the type of terrain a user is traversing.
- Host: GitHub
- URL: https://github.com/shilpakancharla/terrain-identification
- Owner: shilpakancharla
- Created: 2021-03-19T21:36:53.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-04-16T22:19:29.000Z (about 4 years ago)
- Last Synced: 2025-03-25T13:45:40.248Z (about 1 month ago)
- Topics: bidirectional-lstm, cnn, lower-limb-amputations, series-data, terrain-identification
- Language: Jupyter Notebook
- Homepage:
- Size: 2.91 MB
- Stars: 0
- Watchers: 2
- Forks: 3
- Open Issues: 0