專題分類動作的程式

[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"

Human Activity Detection with TensorFlow and Python.

2341-People-Human-Action-Data-in-Online-Conference-Scenes

11000-Image-Video-caption-data-of-human-action

deep learning sex position classifier

Human Action Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Hirakawa

[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Striking the Balance: Human Pose Estimation based Optimal Fall Recognition

Human Pose Estimation for multi-view Human Action Recognition

This repository contains the MPOSE2021 Dataset for short-time pose-based Human Action Recognition (HAR).

Repository for the paper Accuracy Comparison of CNN, LSTM, and Transformer for Activity Recognition Using IMU and Visual Markers, containing all the datasets and Jupyter notebooks used for experiments

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

机器学习实现基于手机六轴数据的人体动作识别和计数功能。并利用云服务器和微信小程序在手机上实现。 Use machine learning to achieve human activity recognition and counting function based on cell phone six-axis data. Achieve it on phone using ECS and WeChat mini-program.

This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.

Đề tài KLTN - TGMT/HCMUS - 7/2022

Source code of experiments performed in paper: Human Action Recognition in Videos Based on Spatiotemporal Features and Bag-of-Poses

Human Activity Recognition Research Repository

Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022

Thesis, Video Based Human Action Recognition Using Deep Learning