Fall Detection and Prediction using GRU and LSTM with Transfer Learning
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Updated
May 25, 2021 - Jupyter Notebook
Fall Detection and Prediction using GRU and LSTM with Transfer Learning
A desktop program based on pyside2 is implemented, which uses yolov5 and KNN algorithm to detect falls.实现了一个基于pyside2的桌面程序, 使用yolov5以及KNN算法进行跌倒检测.
Fall Detection Model using Sisfall dataset and SVC algorithm
Fall Detection is an Arduino based system that detects whether a person has fallen. It is helpful for older people who might fall and need immediate care and assistance.
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Developing an IoT based fall detection system and which also sends an emergency SMS alert.
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Elder Care App - The demo server is currently down and contains only static web pages
Intelligent-surveillance-system aims to Detect the Object Detection, Crash Detection, Social Distance Detection and Fall Detection.
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