Human Activity Recognition
Use a LSTM network to predict human activities from sensor signals collected from a smartphone
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gait Recognition Using Smartphones | 82 | 6 months ago | Jupyter Notebook | |||||||
| Deep Learning-Based Gait Recognition Using Smartphones in the Wild | ||||||||||
| Human Activity Recognition | 40 | 2 years ago | gpl-3.0 | Python | ||||||
| Use a LSTM network to predict human activities from sensor signals collected from a smartphone | ||||||||||
| Lstm_har | 19 | 7 years ago | mit | Jupyter Notebook | ||||||
| LSTM based human activity recognition using smart phone sensor dataset | ||||||||||
| Mobirnn Emdl17 | 9 | 7 years ago | mit | Java | ||||||
| MobiRNN code for the 1st International Workshop on Embedded and Mobile Deep Learning | ||||||||||
| Touchsense | 8 | 5 years ago | gpl-3.0 | Java | ||||||
| Repository containing the code for the paper: "TouchSense: Classifying Finger Touches and Measuring their Force with an Electromyography Armband" | ||||||||||
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Python
Keras
Recognition
Lstm
Smartphone
Lstm Neural Networks
Activity Recognition