Active Arts, Culture & Design Education & Skills

Sensing Music Interactions from the Outside-In: Accessible Innovation Fusing Wearable Technology and Physical Prototyping

In plain English

AI plain-English summary

Most digital musical instruments are designed by engineers for able-bodied experts, locking out anyone who cannot grip a standard controller or read a line of code. This fellowship tackles a fundamental mismatch in how musical instruments are built. Currently, instrument designers either embed sensors into a physical object—assuming a “normal” player with standard hands—or they track gestures in the air, which gives no tactile feedback. Neither approach works well for musicians with physical impairments, who need instruments that fit their unique bodies and movements. The researcher flips the usual method: instead of putting sensors inside the instrument, she puts them on the musician’s wrist and hand. This lets a person use any object—a block of foam, a curved piece of plastic—as a musical controller, because the sensing happens on the body, not in the object. If successful, the project will produce a low-cost, rapid-prototyping toolkit that lets non-technical and disabled musicians co-design their own custom instruments in hours, not months. That could reshape who gets to participate in music-making, from school classrooms to professional performance stages. The work is applied and participatory, not fundamental science—it aims to change a design process, not to discover a new physical law.

View original technical description
This fellowship will critically examine longstanding assumptions of digital musical instrument (DMI) development and create new methods for co-designing customised instruments with physically impaired and non-technical musicians. The aim is to develop disruptive, speculative, and inclusive methods that reshape the fundamental practice of DMI design, inviting broader participation in the development of new musical instruments and future visions of musicianship. Musical instruments are rich cultural and technical artifacts that are used to translate human motion into sound. Embedded computation has led to an abundance of new DMIs, inspiring novel forms of music innovation in terms of performance and artistic expression. DMI development is a highly skilled interdisciplinary craft, combining music, engineering, manufacturing and ergonomics. Consequently, modern instrument design is exclusionary, and instruments are immutably ingrained with the cultural and technical assumptions of their creators, vastly reducing their potential for mass adoption and creating barriers to music innovation for non-technical and physically impaired musicians. Motion capture and gestural interaction technologies have shifted the locus of interaction away from physical objects and onto the body, realising human movement as the interface for performing music. However, the development of musical objects and gestural music interaction are often considered and pursued separately. By focusing on musical objects, instrument development is framed as a technical challenge assuming normative players and overlooking the diversity of musicians, audiences, and their environments. Gestural music interaction has shown great potential for music performance and accessibility; however, it neglects the significant role of tactile feedback in music training and the development of virtuosic performance. This fellowship will take a holistic approach, coupling gestural interaction and physical prototyping. The approach departs from the conventional practice of embedding sensing technologies within an instrument, and exploits a new, emerging paradigm that relocates the technology onto the body, sensing player interactions using wearable devices on the wrist and hand. A radical switch in both technical and design approach that opens innovative new research directions for low-cost, rapidly produced musical instruments, which can be designed to have any shape, scale or structure. Crucially, this provides new ways for people to participate in the rapid co-design of novel, customised musical instruments that are tailored to their unique access requirements and artistic identity. The fellowship addresses the UKRI priority areas of engineering, technology, AI, design research and the AHRC's Audience of the Future Challenge. The PI is ideally placed to examine this timely research opportunity, building on an extensive academic and entrepreneurial track record in gestural music systems. The Co-I and mentors are world leaders in their respective fields and strategic partnerships provide key accessibility guidance, links with Disabled communities and pathways for future impact. UWE, the host institution, plays a significant role in the West of England's (WoE) thriving creative industries and represents the ideal environment for this research. The fellowship will have the full support of the Centre for Print Research (CfPR), and will be located within The Bridge: a new £2.3M AHRC funded facility created to explore artistic applications of physical prototyping and interactive technologies (opening 2023). The fellowship supports time for the PI, Co-I and two postdoctoral research associates (RAs). The Co-I will support the development of embedded wearable technology (WT). One RA will explore participatory methods for co-designing customised musical interfaces. The other RA will focus on signal processing techniques to sense interactions with musical objects.

View the original record at the funder ↗

Researchers

Sebastian Madgwick (Co-Investigator)Thomas Mitchell (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Design for Virtuosity: Modelling and Supporting Expertise in Digital Musical Interaction
Designing new musical technologies for older adults' wellbeing
Cyborg Soloists: Advancing Interdisciplinary Music in the Post-Internet Age Through New Musician-Technology Interactions.
A new low-complexity paradigm for analogue computation and hardware learning
Bridging the Gap - visually impaired and sighted music producers working side by side

Original classification

Fellowship

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.