{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "code", "source": [ "Model training (main_reference)\n", "https://github.com/YJZFlora/Fall_Detection_Deep_Learning_Model/blob/master/Training_code/model_training_May08.ipynb" ], "metadata": { "id": "zHyR_1L8Mugk" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "83l_uzqfMKRk" }, "outputs": [], "source": [ "Openpose\n", "https://github.com/CMU-Perceptual-Computing-Lab/\n", "openpose\n", "\n", "Real-time\n", "https://github.com/tonlongthuat/Real-Time-Fall-Detection\n", "\n", "Load data reference\n", "https://github.com/ManniArtivor24/Fall-Detection/blob/main/Major%20Project%20Fall%20detection%20Notebook.ipynb\n", "\n", "Pose-based vs Image-based\n", "https://github.com/ryankemmer/FallDetection/blob/master/FallDetection_Pose_Based_Models.ipynb\n", "\n", "LSTM teansfer learn\n", "https://github.com/IKKIM00/fall-detection-and-predction-using-GRU-and-LSTM-with-Transfer-Learning/blob/master/SmartFall_LSTM_Classification.ipynb" ] } ] }