KinectCap

Project Title

KinectCap

Project Area of Specialization Computer ScienceProject Summary

A system developed to capture human motion joints including some extra ArUco markers as joints and create a humanoid motion animation to export in Fbx Format which is widely supported by all Graphical and Game Engines, making motion capture approachable simply with Kinect.

Project Objectives

Objective of project is to create opportinity for startup game developer to main change their focus to game development rather than worry about the animation, motion capture and moveset. He can simply use a low budget Kinect sensor and can simply make a humanoid mation capture using KienctCap and create a FBX format animation which is widely supported by all of Graphics Engine and Game Development Engines.

Project Implementation Method

Project Front End is done in .NET Framework (WPF Application), and uses Kinect SDK and KinectX nuget for Joints and ArUco marker detection. And Pyhthon Script is passed the collected data which is processed and coverted to FBX file.

Benefits of the Project

Project will help accelerate Junior Startup Game Developers to create humanoid motion captures without any pre knowledge of it. That'll help them focus on their Code and Art work rather than spending time on coding, or their buudget.

Technical Details of Final Deliverable

Final Deliverable contains a simple WPF Apllication which require the following SDKs and Hardware to Run:

1. Kinect v2  
2. Kinect v2 Adapter for Windows
3. Kinect v2 SDK 
4. FBX SDK for Python
5. Python 2.7 or 3.3

Final Deliverable of the Project Software SystemCore Industry MediaOther Industries Others Core Technology OthersOther TechnologiesSustainable Development Goals Partnerships to achieve the GoalRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	30000
Kinect v2	Equipment	1	17000	17000
Kinect v2 Adapter for Windows	Equipment	1	13000	13000