Learn how machine learning can be used with motion controls! Quickly implement complex gestures to achieve natural virtual reality controls!

Workshop for attendants at the IGGI Conference 2018. To get a ticket, use the code provided after the registration. Because of the room capacity, the number of attendees at this workshop is limited to 18, so get your ticket to avoid disappointment.

Workshop description

In VR the direct mapping of controls offer a wide variety of game mechanics, but there are certain magical interactions that are complicated to translate into game logic. Interactive machine learning can be used to quickly prototype controls by directly showing human actions and computer responses to train the algorithm, allowing to speed the development pipeline!

In this workshop, the attendant gets hands-on with RAPID-MIX: an interactive machine learning toolkit that can work with all sorts of input devices! The participant will use a motion-based input device (webcam, leap motion, VR controller, etc.) and modify a sample game with gestural interaction.

Attendee takeaways

• Getting introduced to common types of interactive machine learning: classification and regression.
• Getting hands-on with the RAPID-MIX Interactive Machine Learning Toolkit.
• Learning to connect tools with Unity 3D. Previous experience with Unity 3D (or game engines) required.
• Getting to personalize the gestural controls of a sample Unity 3D project with RAPID-MIX by learning the “machine learning pipeline”.

Facilitators

Carlos Gonzalez Diaz and Cristina Dobre.

Software requirements

A list of the required Sofware will be available soon.

Find out more about IGGI: http://iggi.org.uk/

Find out more about the conference: http://2018.iggi.org.uk/

The IGGI Conference is sponsored by the EPSRC.