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Crossfit Exercise

3D Information Extraction from Physics Exercise Videos

Project Overview

The purpose of this project is to compare multiple open-source packages from GitHub to determine the most efficient one for extracting 3D information from customized exercise videos.

Each package utilizes Machine Learning and Neural Network models to estimate the 3D pose of athletes over a 2D key-point frame.

Overview
Abstract Futuristic Background

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Milestone 1

Project Charter

Package 1

Milestone 2

Project Plan

Package 2

Milestone 3

Gantt Chart

Generated Videos 

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Kennesaw State University IT 4983 Fall 2021 Capstone Project

Project Team: Zach Matthews​, Sam Guan​, Francisco Alvarez-Rizo​, Philip McFarland​, Cole Bruton​, and Lhakpa Sherpa​

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