Fall Detection

Striking the Balance: Human Pose Estimation based Optimal Fall Recognition

Dependencies

The dependencies are listed in requirements.txt. You can install them with the following command:

pip install -r requirements.txt

Create a folder called dataset in the root folder of the project. The folder structure should be as follows:

Fall Detection
├── data
│   ├── adl-01-cam0-urfdd-1-no_keypoints.npy
│   ├── ...
├── remaining files

The training code uses the PyTorch framework.
To start training, run the following command:
```
python main.py --dataset ./data
```
Other arguments can be found in the main.py file.
The trained models are stored in the ./output folder.
The hyperparameters of the model can be changed in the ./config/model.json file.