Objective
The BioMusical Instrument project will create a product prototype of a wearable digital musical instrument based on biosignals from the performer’s muscles. It will allow musicians to perform electronic sounds from bodily gestures. Muscle tension will be sensed by innovative new electromyogram sensing hardware packaged in an ergonomic housing and coupled to wireless communication. Sophisticated machine learning methods developed in the ERC MetaGesture Music and H2020 Rapid-Mix projects will track musician gesture and create meaningful relationships with computer-based synthesized sound. The BioMusical Instrument will be marketed to three distinct application areas: First, it will enable “hands-free” performance of electronic music. Second, the visualization of body states will make it a useful training tool in traditional musical instrument pedagogy. Finally, the sonification of physiological signals will allow the instrument to be used in the health sector in physical rehabilitation exercises. The BioMusical Instrument will be the first product to combine EMG sensing, machine learning, and advanced audio signal processing. We have identified partners in the biomedical hardware field, the music technology industry, and rehabilitation research with whom we will benchmark and evaluate the product prototype.
Fields of science
- medical and health sciencesclinical medicinephysiotherapy
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- natural sciencesphysical sciencesacoustics
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- humanitiesartsmusicology
Programme(s)
Topic(s)
Funding Scheme
ERC-POC - Proof of Concept GrantHost institution
SE14 6NW London
United Kingdom