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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 ...
Air-Guitar Control of Interactive Rhythmic Robots 
Krzyzaniak, Michael Joseph; Veenstra, Frank; Erdem, Cagri; Jensenius, Alexander Refsum; Glette, Kyrre (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2020)
This paper describes an interactive art installation shown at ICLI in Trondheim in March 2020. The installation comprised three musical robots (Dr. Squiggles) that play rhythms by tapping. Visitors were invited to wear ...
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 ...
Analyzing correspondence between sound objects and body motion 
Nymoen, Kristian; Godøy, Rolf Inge; Jensenius, Alexander Refsum; Tørresen, Jim (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2013)
Links between music and body motion can be studied through experiments called sound-tracing. One of the main challenges in such research is to develop robust analysis techniques that are able to deal with the multidimensional ...
Filtering Motion Capture Data for Real-Time Applications 
Skogstad, Ståle Andreas van Dorp; Nymoen, Kristian; Høvin, Mats Erling; Holm, Sverre; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2013)
In this paper we present some custom designed filters for real-time motion capture applications. Our target application is motion controllers, i.e. systems that interpret hand motion for musical interaction. In earlier ...
Development and evaluation of a ZigFlea-based wireless transceiver board for CUI32 
Tørresen, Jim; Hauback, Øyvind N.; Overholt, Dan; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
We present a new wireless transceiver board for the CUI32 sensor interface, aimed at creating a solution that is flexible, reliable, and with little power consumption. Communication with the board is based on the ZigFlea ...
A Study of the Noise-Level in Two Infrared Marker-Based Motion Capture Systems 
Jensenius, Alexander Refsum; Nymoen, Kristian; Skogstad, Ståle Andreas van Dorp; Voldsund, Arve (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
With musical applications in mind, this paper reports on the level of noise observed in two commercial infrared marker-based motion capture systems: one high-end (Qualisys) and one affordable (OptiTrack). We have tested ...
Enabling Participants to Play Rhythmic Solos Within a Group via Auctions 
Chandra, Arjun; Nymoen, Kristian; Voldsund, Arve; Jensenius, Alexander Refsum; Glette, Kyrre Harald; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
The paper presents the interactive music system SoloJam, which allows a group of participants with little or no musical training to effectively play together in a ``band-like'' setting. It allows the participants to take ...
Developing the Dance Jockey system for musical interaction with the Xsens MVN suit 
Skogstad, Ståle Andreas van Dorp; Nymoen, Kristian; de Quay, Yago; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
In this paper we present the Dance Jockey System, a system developed for using a full body inertial motion capture suit (Xsens MVN) in music/dance performances. We present different strategies for extracting relevant ...
Comparing Motion Data from an iPod Touch to a High-End Optical Infrared Marker-Based Motion Capture System 
Nymoen, Kristian; Voldsund, Arve; Skogstad, Ståle Andreas van Dorp; Jensenius, Alexander Refsum; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
The paper presents an analysis of the quality of motion data from an iPod Touch (4th gen.). Acceleration and orientation data derived from internal sensors of an iPod is compared to data from a high end optical infrared ...
A Statistical Approach to Analyzing Sound Tracings 
Nymoen, Kristian; Tørresen, Jim; Godøy, Rolf Inge; Jensenius, Alexander Refsum (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2012)
This paper presents an experiment on sound tracing, meaning an experiment on how people relate motion to sound. 38 participants were presented with 18 short sounds, and instructed to move their hands in the air while acting ...
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 ...
Dance Jockey: Performing Electronic Music by Dancing 
de Quay, Yago; Skogstad, Ståle Andreas van Dorp; Jensenius, Alexander Refsum (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2011)
The authors present an experimental musical performance called Dance Jockey, wherein sounds are controlled by sensors on the dancer's body. These sensors manipulate music in real time by acquiring data about body actions ...
A Toolbox for Storing and Streaming Music-related Data 
Nymoen, Kristian; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2011)
Simultaneous handling and synchronisation of data related to music, such as score annotations, MIDI, video, motion descriptors, sensor data, etc. requires special tools due to the diversity of this data. We present a toolbox ...
Proceedings of the International Conference on New Interfaces for Musical Expression 
Jensenius, Alexander Refsum; Skogstad, Ståle Andreas van Dorp; Nymoen, Kristian (Book / Bok / PublishedVersion; Peer reviewed, 2011)
Editors: Alexander Refsum Jensenius, Anders Tveit, Rolf Inge Godøy, Dan Overholt Table of Contents -Tellef Kvifte: Keynote Lecture 1: Musical Instrument User Interfaces: the Digital Background of the Analog Revolution ...
SoundSaber - A Motion Capture Instrument 
Nymoen, Kristian; Skogstad, Ståle Andreas van Dorp; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2011)
The paper presents the SoundSaber - a musical instrument based on motion capture technology. We present technical details of the instrument and discuss the design development process. The SoundSaber may be used as an example ...
OSC Implementation and Evaluation of the Xsens MVN suit 
Skogstad, Ståle Andreas van Dorp; Nymoen, Kristian; de Quay, Yago; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2011)
The paper presents research about implementing a full body inertial motion capture system, the Xsens MVN suit, for musical interaction. Three di erent approaches for streaming real time and prerecorded motion capture data ...
Using IR Optical Marker Based Motion Capture for Exploring Musical Interaction 
Skogstad, Ståle Andreas van Dorp; Jensenius, Alexander Refsum; Nymoen, Kristian (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2010)
The paper presents a conceptual overview of how optical infrared marker based motion capture systems (IrMoCap) can be used in musical interaction. First we present a review of related work of using IrMoCap for musical ...
Wireless Sensor Data Collection based on ZigBee Communication 
Tørresen, Jim; Renton, Eirik; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2010)
This paper presents a comparison of different configurations of a wireless sensor system for capturing human motion. The systems consist of sensor elements which wirelessly transfers motion data to a receiver element. The ...
fourMs, University of Oslo Lab Report 
Jensenius, Alexander Refsum; Glette, Kyrre Harald; Godøy, Rolf Inge; Høvin, Mats Erling; Nymoen, Kristian; Skogstad, Ståle Andreas van Dorp; Tørresen, Jim (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2010)
The paper reports on the development and activities in the recently established fourMs lab (Music, Mind, Motion, Machines) at the University of Oslo, Norway. As a meeting place for researchers in music and informatics, the ...
Searching for Cross-Individual Relationships between Sound and Movement Features using an SVM Classi er 
Nymoen, Kristian; Jensenius, Alexander Refsum; Tørresen, Jim; Glette, Kyrre Harald; Skogstad, Ståle Andreas van Dorp (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2010)
In this paper we present a method for studying relationships between features of sound and features of movement. The method has been tested by carrying out an experiment with people moving an object in space along with ...
Extracting action-sound features from a sound-tracing study 
Glette, Kyrre Harald; Jensenius, Alexander Refsum; Godøy, Rolf Inge (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2010)
The paper addresses possibilities of extracting information from music-related actions, in the particular case of what we call sound-tracings. These tracings are recordings from a graphics tablet of subjects' drawings ...
A discussion of multidimensional mapping in Nymophone2 
Nymoen, Kristian; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2009)
The paper presents Nymophone2, an acoustic instrument with a complex relationship between performance actions and emergent sound. A method for describing the multidimensional control actions needed to play the instrument ...
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 ...
 
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Date Issued2010 - 2020 (23)2009 - 2009 (2)Document TypeBokkapittel (22)Tidsskriftartikkel (2)Bok (1)Author
Jensenius, Alexander Refsum (25)
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