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路灯系统

action_recognition

Based on lightweight openpose ,recognize falling and put hands for help

admachine

智慧路灯

ai_challenger_2017

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world.

arduino_core_stm32

STM32 core support for Arduino

awesome-public-datasets

A topic-centric list of HQ open datasets.

camera-openpose-keras

keras使用openpose模型的一个小例子 demo for kereas openpose

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cocodataset.github.io

deep-learning-based-motion-intention-estimation-using-eeg-signals

This code is written to estimate Human Motion Intention using Deep Learning (Artificial Neural Network). I have used 61 Channel EEGs. The data was obtained from BNCI Website (http://bnci-horizon-2020.eu/database/data-sets). The dataset description is also uploaded.

fall-detection

Non-invasive Fall Detection with Keras and Tensorflow

fall-detection-1

a very simple Fall-detection（摔倒/跌倒检测）using yolo2

fall-detection-2

fall detection using machine learning

fall-detection-3

A simple fall detection demo based on openpose

fall-detection-4

An Openpose based Fall detection system which detects falls in a given input video and takes counter measures, In this case sends an email to the respective person

fall-detection-5

Lightweight fall detection based on human pose estimation

fall-detection-by-conv1d-and-conv2d

利用加速度計來蒐集人體動作的數值後，經過處理及轉換並交由Conv1D和Conv2D來判斷有無跌倒事件發生

fall-detection-in-android

This project presents a simple threshold based fall detection algorithm using accelerometer readings.

fall-detection-two-stream-cnn

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

fall-detection-with-3d-cnns

fall-detection-with-cnns-and-optical-flow

Repository containing the material required to reproduce the results of the paper "Vision-Based Fall Detection with Convolutional Neural Networks"

fall-detection-with-computer-vision

Client-server model based human fall detection using computer vision (OpenPose)

fall_detection_project

此專案是針對一連串人體的骨幹座標(frames)變化來偵測人體的目前動作的 CNN，訓練資料來自 SBU_dataset 以及我自行利用拍攝好的照片經過 openpose 得出人體骨幹座標的資料

fall_detecton_using_openpose

Fall detection system for elderly people

fall_down_pose_estimation

detect whether the old are falling down using openpose and modeling

falldetection

Fall Detection using OpenPose for 2D image

falldetection-1

This repository is a collection of deep learning models created to detect potentially life threatening falls in videos. Models are written in python and utilize tensorflow, pandas and numpy. The most successful model uses the popular 'OpenPose' library to perform feature extraction of humans in videos, and then uses a CNN/LSTM framework to predict is a person is experiencing a potentially fatal fall.

falldetection_openpifpaf

Fall Detection using OpenPifPaf's Human Pose Estimation model

falldetection_openpose

fd-cnn

ADL and Fall Detection