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

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.

Fall Detection in EHR using Word Embeddings and Deep Learning

💡 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.

AI powered camera and event detection system

ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition

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

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。

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

Realtime Fall Detection and Human Activity Recognition using Multilayer Perceptron Neural Network from gyroscope and accelerometer sensor sent from a ESP-32 Microcontroller

AI-powered multi-camera surveillance with posture classification, fall/inactivity detection, heatmaps, and real-time alerts. Built using OpenCV, MediaPipe, Streamlit & Flask.

Official Source code for "Comparative Study on Performance of ML Models for Fall Detection in Older People" paper.

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Single run action detector on video stream data

Fall Rate Identification, Detection, and Analysis (FRIDA) Project for CSC 450 at Missouri State University.