Action-Net is a dataset containing images of 16 different human actions.
-
Updated
Sep 22, 2019 - Jupyter Notebook
Action-Net is a dataset containing images of 16 different human actions.
Simulation of a human heart with physics movements. Heart is modeled in tetrahedral mesh. The project is using C++, OpenGL, GLSL, Mass Spring Physics System (Developed by myself) as its foundation. The final goal is to simulate a human heart in real-time.
A human action dataset collected from Elder Scrolls V: Skyrim
Human Activity Recognition UCI Dataset, final score 0.97196
This repository contains all resources and documentation related to the Human Action Recognition project. The goal of this project is to classify different human actions using deep learning models trained on the Human Action Recognition (HAR) dataset.
Add a description, image, and links to the human-actions topic page so that developers can more easily learn about it.
To associate your repository with the human-actions topic, visit your repo's landing page and select "manage topics."