EqualMotion: Accessible Motion Capture for the Creative Industries
🤖 AI Summary
Traditional motion capture systems rely on normative biomechanical models and rigid calibration assumptions, systematically excluding practitioners with disabilities. This study adopts a disability-centered co-design paradigm to develop a wearable motion capture system accommodating diverse bodily morphologies and movement patterns. We propose a novel “body-agnostic” architecture featuring personalized calibration, seamless integration of mobility aids, inclusive visual language design, and an assistive-device-compatible interaction protocol. Through multi-case deployments in dance and music composition, we empirically validate the system’s usability, adaptability, and inclusivity within authentic creative workflows. The work advances digital performance technologies from ability-centric paradigms toward bodily justice, establishing a reusable methodological framework and technical infrastructure for accessible human–computer interaction and equitable participation.
Application Category
📝 Abstract
Motion capture technologies are increasingly used in creative and performance contexts but often exclude disabled practitioners due to normative assumptions in body modeling, calibration, and avatar representation. EqualMotion introduces a body-agnostic, wearable motion capture system designed through a disability-centred co-design approach. By enabling personalised calibration, integrating mobility aids, and adopting an inclusive visual language, EqualMotion supports diverse body types and movement styles. The system is developed collaboratively with disabled researchers and creatives, aiming to foster equitable participation in digital performance and prototyping. This paper outlines the system's design principles and highlights ongoing case studies in dance and music to evaluate accessibility in real-world creative workflows.
Problem
Research questions and friction points this paper is trying to address.
Address exclusion of disabled practitioners in motion capture
Develop body-agnostic wearable system via co-design
Enable inclusive digital performance for diverse bodies
Innovation
Methods, ideas, or system contributions that make the work stand out.
Body-agnostic wearable motion capture system
Personalized calibration for diverse bodies
Inclusive visual language integration
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