AlphaPose + ST-GCN + SORT.

Fall Detection using OpenPifPaf's Human Pose Estimation model

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

Real-time ADLs and Fall Detection implement TensorFlow

Python ML library for people fall detection

The core runtime engine for Ambianic Edge devices.

Human Falling Detection

ADL and Fall Detection

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

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

Fall detection in videos using deep learning. Implements GRU/LSTM models to extract motion patterns and accurately classify falls.

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.

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

Fall detection Android app

The smartwatch made based on ESP32-C3(RISC-V MCU), which has heart rate, oximetry, temperature, fall detection and IOT Function. 基于 ESP32-C3的智能手表（RISC-V MCU），具有心率、血氧饱和度、温度、跌倒检测和物联网功能。

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

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.

AI powered camera and event detection system

💡 This project proposes an IoT based fall detection and rescue system. The main objective here is to alert the user as well as a guardian/ doctor if there is a possibility of fall.