Matt Peachey

My Research!

Latest Work

[Research] Creating Latent Representations of Synthesizer Patches using Variational Autoencoders

This research introduces two ways of representing synthesizer patches using the latent space of a Variational Autoencoder.

[Research] FAUSTMapper: Facilitating Complex Mappings for Smart Musical Instruments

FAUSTMapper is a lightweight binding between arbitrary FAUST-based audio projects and the mapping middleware, libmapper.

[Research] Supporting Spatial Thinking in Augmented Reality Narrative: A Field Study

This work is an evaluation of the StoryCreatAR tool kit with real authors, real narratives, and results from deploying that narrative as a public installation.

[Research] MoveBox: Democratizing MoCap for the Microsoft Rocketbox Avatar Library

MoveBox looks at using Azure Kinect / Kinect 2 to handle Motion Capture for the RocketBox library of virtual avatars. This project was led by Microsoft Research and I was pleased to collaborate with the EPIC group.

[Research] Story CreatAR: a Toolkit for Spatially-Adaptive Augmented Reality Storytelling

Story CreatAR is a tool that helps authors write immersive narratives for virtual reality.

[Research] Using Space Syntax to Enable Walkable AR Experiences

This research demonstrates how Space Syntax can be used to create walkable AR experiences in any building or location.

[Research] Capture and Recognition of Bead Weaving Activities using Hand Skeletal Data and an LSTM Deep Neural Network

This project, lead by Rowland Goddy-Worlu, focused on using recurrent ML architectures (LSTM based) for classifying hand-gestures associated with bead-weaving.