Nettsider med emneord «motion capture»
In the Dance Jockey project, we have used a full-body inertial motion capture system, the , for musical interaction.
By (McGill University), visiting researcher at RITMO during February 2020
fourMs-researchers wil perform at the VERDIKT conference:
iPhone ensemble playing Bloom and Scrambler (for iPhone and small speakers). Featuring Alexander Refsum Jensenius, Kristian Nymoen, Anders Tveit, Arve Voldsund and Viet Phi Uy Hoang.
Dance Jockey by Yago de Quay and Ståle Skogstad (using Xsens inertial motion capture)
fourMs-researchers wil participate in the Department of Musicology's semester opening concert.
Kristian Nymoen, Anders Tveit, Alexander Refsum Jensenius: Bloom and Scrambler (for iPhone and small speakers)
Yago de Quay, Ståle Skogstad: Posture (with Xsens motion capture)
As preparations for the Motion Capture Workshop next week, we will be giving an introduction to using the NaturalPoint Optitrack system that is currently set up in the fourMs Lab.
RITPART is a partnership project with the aim of connecting RITMO to world-leading research groups in USA, Canada and Japan.
An intensive PhD-level training course on sound and motion analysis with experts in sound and music computing from the Nordic countries.
A workshop for exploring advanced methods for capturing and analysing human music-related motion.
The goal of the innovation project SoundTracer is to develop an app for searching in large music libraries through moving a mobile phone in the air.
Motion Capture recording of William Westney performing excerpts from piano pieces by Franz Liszt and Harold Arlen.
Research fellow Kristian Nymoen will defend his dissertation on Friday 25 January 2013.
The MoCap Synthesiser is a set of generic tools for making real-time motion tracking devices into musical instruments, including the SoundSaber. One feature extraction module and two sound modules are included.
The Musical Motion Capture Database is being developed for storing all sorts of musical motion capture data.
The Musical Motion Capture Database is being developed for storing all sorts of musical motion capture data.
Postdoctoral researcher Kyrre Glette participated in (and won!) the 64kB intro competition at the in Helsinki. A 64kB intro is an executable program in 64kB which includes realtime generation of graphics and music.
The includes a dancing robot, where the motion is based on data recorded with our new Qualisys infrared motion capture system.
Graphics programming done by Kim Kalland, Thomas Kristensen and Kyrre Glette. Sound programming and music by Gergely Szelei-Kis.
fourMs-researchers were heavily present at the annual yesterday. In addition to a lecture and poster presentations, we also contributed a performance with the iPhone ensemble and a motion capture performance. More info below.
This week's version of the student newspaper Universitas has an about music and movement, featuring visiting researcher .
, Network Coordinator for , has posted a with pictures and videos of the motion capture session done with American pianist during his visit to ̽»¨¾«Ñ¡ in February. There are also links to a video recording of a small discussion between Cynthia Grundt, William Westney and Alexander Refsum Jensenius on some of the topics discussed during the NNIMIPA workshop in ̽»¨¾«Ñ¡.
We have uploaded a few pictures from the last week, and research fellow Kristian Nymoen has made a presenting the use of the Qualisys motion capture system.
Our new motion capture system is presented in the Qualisys newsletter from May. We have been working with Qualisys to create an integrated solution for handling recording and streaming of music-related body movement data, and look forward to working with the new system in the coming years!
Videos from the Semester opening concert are now available on : and . See below for more information.
FourMs will host an international workshop on motion capture in music 12-16 October 2009, with guests from McGill University and University of Jyväskylä. There will be three public lectures:
This software enables realtime streaming of mocap data from the MoCap toolbox for Matlab, synchronised with audio.