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.

RehabAI: An AI-Powered Web App for Remote Physical Therapy

專題分類動作的程式

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

This repository contains the implementation of a system for Human Action Recognition (HAR) using depth map data. The system is designed to assist individuals with dementia in bathroom settings by recognizing human actions in a privacy-preserving manner.

Human Pose Estimation for multi-view Human Action Recognition

Thesis, Video Based Human Action Recognition Using Deep Learning

This is an effort to provide different approaches towards human action recognition from video. A method to perform data augmentation on skeletal data so as to achieve a view independent recognition approach is included.

A Human Action Recognition (HAR) model combining 3D CNN and LSTM networks to accurately recognize actions in videos using spatial-temporal feature extraction. Trained on UCF-50 and outperforming existing architectures.

Master project for MSIT 2024 - Towards Efficient Human Action Recognition: The Role of Keyframe Selection in Video Processing

An AI-powered Human Action Recognition system that classifies 15 common human activities using deep learning and computer vision. Built with TensorFlow, Keras, and OpenCV, the system supports real-time predictions from live camera feeds or uploaded images/videos through a user-friendly PyQt interface.

his is a human action recognition(HAR) project based on CNNs and Tensorflow using a pretrained model.

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

Project to explore a deep learning solution to a computer vision problem. Human action recognition has become increasingly popular. This project implements a deep RNN to detect seizures.

Implementation of CNN-Based Model for Online Action Recognition

Code repository for the paper "Interaction-aware Scene Debiasing for Action Recognition"

Striking the Balance: Human Pose Estimation based Optimal Fall Recognition

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

Enhancing Human Action Recognition with GAN-based Data Augmentation

🚗 Detect driver distractions in images for improved road safety by predicting behavior like texting, talking, and reaching behind the wheel.