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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

For many, the pursuit and enjoyment of musical performance goes hand-in-hand with collaborative creativity, whether in a choir, jazz combo, orchestra, or rock band. However, few musical interfaces use the affordances of ...

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 ...

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 ...

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 ...