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.
Tag: 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.
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.
Story CreatAR: a Toolkit for Spatially-Adaptive Augmented Reality Storytelling
Story CreatAR is a tool that helps authors write immersive narratives for virtual reality.