Our goal is to understand human interaction with music; how music works as a sense-giving, meaningful, and beneficial activity that exerts an energising and empowering effect on humans.
Theory of embodied music cognition
Music cognition, as manifested in listening, dancing, and performing, can be understood as an adaptive prediction process that capitalises upon corporeal mechanisms with more primitive prediction capacity. Prediction models play a prominent role in the expressive enactment of musical patterns; paving the way for sense-giving, meaning formation and empowerment. [Related publications and multimedia]
Music-movement synchronisation involves the alignment of human rhythm to the rhythm of the music. We study the foundations of sensorimotor processing underlying synchronisation. We found different ways of manipulating these processes. [Related publications]
Expressive music interaction: What is expression? How is it related to emotional reflexes, to cognitive prediction, to effort? Expression is probably the backchannel for grasping music from inside out. Our research aims at studying expression from the viewpoint of empirical research and computational modelling. [Related publications and multimedia]
How do people develop musical skills? How do they learn to play a musical instrument? Taking into account the fundamental role of the body in musical meaning formation, we investigate how movement and movement-based technologies can contribute to musical development. Our Music Paint Machine is an example of such a movement-based interactive educational technology. This track involves both fundamental and applied research. [Related publications and multimedia]
Music-based training in sports and rehabilitation.
Can we improve humans with music? We develop interactive technologies for enhancement of performance and injury prevention in sports. Our Djogger system provides adapted musical walking assistance for patients with Parkinson disease. Our Music Balance Board supports new ways of balance training after stroke or trauma. We develop measurement and analysis methods to study musical interaction and sensorimotor synchronization in persons with dementia. We study effects of music-mediated entrainment on gait quality and fatigue perception in persons with progressive multiple sclerosis.
We develop our scientific research in parallel with concrete applications. Our DJogger system is an example of a music-based bio-feedback system with predictive and controllable properties. Our findings are currently expanded to new fields, such as biking, and music ensemble playing, injury prevention in sports... [Related publications and multimedia]
What does philology mean to multimedia cultural heritage? How can we effectively archive and access kinetic and interactive art?
From the viewpoint of repertoire and perception, how do we optimize the retrieval of music for a particular function? We draw upon data science to deepen our insight in these questions. [Related publications and multimedia]
IPEM once started (in 1963) as a studio for electro-acoustic music production. Today we still collaborate with artists on new productions. Know-how in embodied music cognition is currently a pre-requisite for advanced artistic and music-based multimedia applications. [Related publications and multimedia]