activity
20172022
most citedHow do Mixture Density RNNs Predict the Future?

20 citations · 44 across the 11 of their papers we have counts for

collaborators

11 papers

cs.HC2022★ 1 cited

Embodying the Glitch: Perspectives on Generative AI in Dance Practice

Benedikte Wallace, Charles P. Martin

What role does the break from realism play in the potential for generative artificial intelligence as a creative tool? Through exploration of glitch, we examine the prospective val…

cs.HC2020★ 3 cited

Composing an Ensemble Standstill Work for Myo and Bela

Charles Patrick Martin, Alexander Refsum Jensenius, Jim Torresen

This paper describes the process of developing a standstill performance work using the Myo gesture control armband and the Bela embedded computing platform. The combination of Myo…

cs.HC2020★ 2 cited

A Laptop Ensemble Performance System using Recurrent Neural Networks

Rohan Proctor, Charles Patrick Martin

The popularity of applying machine learning techniques in musical domains has created an inherent availability of freely accessible pre-trained neural network (NN) models ready for…

cs.HC2020

Sonic Sculpture: Activating Engagement with Head-Mounted Augmented Reality

Charles Patrick Martin, Zeruo Liu, Yichen Wang +2

This work examines how head-mounted AR can be used to build an interactive sonic landscape to engage with a public sculpture. We describe a sonic artwork, "Listening To Listening",…

cs.SD2020★ 4 cited

Towards Movement Generation with Audio Features

Benedikte Wallace, Charles P. Martin, Jim Torresen +1

Sound and movement are closely coupled, particularly in dance. Certain audio features have been found to affect the way we move to music. Is this relationship between sound and mov…

cs.RO2020

Environmental Adaptation of Robot Morphology and Control through Real-world Evolution

Tønnes F. Nygaard, Charles P. Martin, David Howard +2

Robots operating in the real world will experience a range of different environments and tasks. It is essential for the robot to have the ability to adapt to its surroundings to wo…