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Robotics and Intelligent Systems at University of Oslo 
Tørresen, Jim; Glette, Kyrre Harald; Jensenius, Alexander Refsum; Furuholmen, Marcus (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2009)
The Robotics and Intelligent Systems group conducts research in the interdisciplinary field of robotics, machine learning, reconfigurable hardware and sensing human actions. The group is affiliated to the Department of ...
Composing an ensemble standstill work for Myo and Bela 
Martin, Charles Patrick; Jensenius, Alexander Refsum; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
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 and Bela allows a portable and extensible ...
RaveForce: A Deep Reinforcement Learning Environment for Music 
Lan, Qichao; Tørresen, Jim; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
RaveForce is a programming framework designed for a computational music generation method that involves audio sample level evaluation in symbolic music representation generation. It comprises a Python module and a SuperCollider ...
PheroMusic: Navigating a Musical Space for Active Music Experiences 
Nymoen, Kristian; Chandra, Arjun; Glette, Kyrre Harald; Tørresen, Jim; Voldsund, Arve; Jensenius, Alexander Refsum (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2014)
We consider the issue of how a flexible musical space can be manipulated by users of an active music system. The musical space is navigated within by selecting transitions between different sections of the space. We take ...
Classifying Music-Related Actions 
Godøy, Rolf Inge; Jensenius, Alexander Refsum; Voldsund, Arve; Glette, Kyrre Harald; Høvin, Mats Erling; Nymoen, Kristian; Skogstad, Ståle Andreas van Dorp; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
Our research on music-related actions is based on the conviction that sensations of both sound and body motion are inseparable in the production and perception of music. The expression "musicrelated actions" is here used ...
Towards Playing in the 'Air': Modeling Motion-Sound Energy Relationships in Electric Guitar Performance Using Deep Neural Networks 
Erdem, Cagri; Lan, Qichao; Fuhrer, Julian; Martin, Charles Patrick; Tørresen, Jim; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2020)
In acoustic instruments, sound production relies on the interaction between physical objects. Digital musical instruments, on the other hand, are based on arbitrarily designed action--sound mappings. This paper describes ...
 
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Date Issued2010 - 2020 (5)2009 - 2009 (1)Document Type
Bokkapittel (6)
Author
Jensenius, Alexander Refsum (6)
Tørresen, Jim (6)
Glette, Kyrre Harald (3)Lan, Qichao (2)Martin, Charles Patrick (2)... View MorePeer ReviewedPeer reviewed (6)
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