RS2002/WiFall
WiFall Paper | Code The description is generated by Grok3. Sample Usage To run the model, follow these instructions based on the dataset you are using. For the WiGesture Dataset, use the train.py script, and for the WiFall Dataset, use the train_fall.py script. The steps to execute them are the same, and here we provide an example using train.py. python train.py --k <shot number> --n <neighbor number for KNN> --p <select the top p samples from testing set for… See the full description on the dataset page: https://huggingface.co/datasets/RS2002/WiFall.
| Author / organization | RS2002 |
|---|---|
| Downloads | 144 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 26 August 2025 |
| Last updated at source | 17 December 2025 |
Recent changes
- 16 Oct 2026 Description: WiFall Paper | Code The description is generated by Grok3. Sample Usage To run the model, follow these instructions based on the dataset you are using. For the WiGesture Dataset, use the train.py script, and for the WiFall Dataset, use the → WiFall Paper | Code The description is generated by Grok3. Sample Usage To run the model, follow these instructions based on the dataset you are using. For the WiGesture Dataset, use the train.py script, and for the WiFall Dataset, use the
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