AlphaPose + ST-GCN + SORT.

Fall Detection using OpenPifPaf's Human Pose Estimation model

Real-time, Multi-person & Multi-camera Fall Detector in Python

The core runtime engine for Ambianic Edge devices.

Real-time ADLs and Fall Detection implement TensorFlow

Python ML library for people fall detection

ADL and Fall Detection

Real-time fall detection using two-stream convolutional neural net (CNN) with Motion History Image (MHI)

Human Falling Detection

Detect a person fall in videos using OpenCv

Here I integrated the YOLOv5 object detection algorithm with my own created dataset which consists of human activity images to achieve low cost, high accuracy, and real-time computing requirements

Detects the abnormal behaviors of passengers on a ship so we can prevent accidents from occurring

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

Fall detection Android app

This repository contains the source code for the paper Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging

Fall Detection in EHR using Word Embeddings and Deep Learning

An Android App, which detects User fall using Accelerometer, Gyroscope and Magnetometer and send SMS to the Mobile Numbers Stored in the SQLite Database.

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

Commercial iOS fall detection app. Connects to a Polar H10 device for triaxial acceleromter and ECG signals. These signals are passed to a trained ResNet152 model using Tensorflow background processes for live inference.