Fall Detection Systems ML Frameworks

AI systems for detecting human falls in real-time using computer vision, pose estimation, or wearable sensors. Does NOT include general human activity recognition, activity classification, or non-fall-specific pose estimation applications.

There are 12 fall detection systems frameworks tracked. The highest-rated is Foxpace/BeSafeBox_Android_app at 39/100 with 23 stars.

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# Framework Score Tier
1 Foxpace/BeSafeBox_Android_app

Fall detection Android app

39
Emerging
2 Juneeee98/Realtime-Fall-Dectection-and-Human-Activity-Recognition-Using-MLP

Realtime Fall Detection and Human Activity Recognition using Multilayer...

37
Emerging
3 SCorreiaPT/LSTM_SensitivityFallDetection

MatLab scripts for performing a sensitivity analysis of LSTM networks for...

33
Emerging
4 mojtabaSefidi/Fall-Detection-System

Official Source code for "Comparative Study on Performance of ML Models for...

31
Emerging
5 SpaceMinds/FDS

BIOBOT: A Fall Detection System (FDS) using Artificial Intelligence

30
Emerging
6 hoangNguyen210/Fall-Detection-Research-1

This is a brief summary of our Fall detection research 1. Our work have been...

29
Experimental
7 hoangNguyen210/Fall-Detection-Research-2

This repository is used to publish our codes for the paper "Fall Detection...

26
Experimental
8 VladVin/SleetMonitor

Sleet Monitor - система детектирования падений человека на скользкой поверхности

23
Experimental
9 KananMahammadli/Fall-Detection-using-CNN-Architecture

Detecting whether a person has fallen or not based on images

19
Experimental
10 kelsonbatista/fall-detection-ai-project

Fall detection model (AI) with YOLO and LSTM

18
Experimental
11 darzhz/dont_fall

A Fall detector and detection model built using ml5 library and posenet

17
Experimental
12 ionascuandrei/fallDetectionSystem-smarthpone

This system aims to offer a machine learning classifier built on a portable...

13
Experimental