fall-detection

AlphaPose + ST-GCN + SORT.

Fall Detection using OpenPifPaf's Human Pose Estimation model

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

Python ML library for people fall detection

Real-time ADLs and Fall Detection implement TensorFlow

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

WiFi CSI human sensing for Python presence, fall detection, breathing rate, activity classification, and occupancy counting from an ESP32. No camera, no cloud, no PyTorch/CUDA at runtime.

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。

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

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

AI powered camera and event detection system