Fall-Detection-Deep-Learning
PublicPreprocessing my fall detection dataset using data standardisation and sliding windows, and splitting this data into train/validation/test sets. Modelling performed on PyTorch using LSTM and CNN networks. The final models were exported to `.tflite` files to be run on a mobile phone. The best performing model was the ResNet152 with 92.8% AUC.
Creat：2022-01-30T22:34:26
Update：2024-09-24T00:53:39
https://arxiv.org/abs/2207.00008
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