Batteryless motion capture sensors on fabric enable 3d shape tracking
Toward Motion Capture Textiles: A Batteryless IMU Array Powered and Networked Through a Conductive-Fabric Bus
Networking and Internet Architecture
Summary
Motion capture often needs cameras and clear views, which makes it hard to use every day. The authors created small sensors that can be put on fabric to track movement without needing batteries or wires for each sensor. These sensors get power and send data through special conductive fabric, working together to measure and rebuild shapes in 3D. They tested this on a curved surface and found the system to be quite accurate. This approach could lead to motion capture clothes that work anytime and anywhere.
What this means in practice
- •For physical therapy teams: Use fabric-based sensors to monitor patient movement remotely without needing wired or battery-powered devices.
- •For sports equipment manufacturers: Integrate sensor arrays into wearable garments to capture athletes' motion data in real-time without bulky batteries.$Commercial implications: Enables producing motion capture apparel with embedded batteryless sensors for sports teams seeking lightweight monitoring gear.
Authors
Ryusei Miyakawa, Akihito Noda
Abstract
Motion capture is increasingly important in healthcare, rehabilitation, and sports applications. However, conventional vision-based systems require camera infrastructure and line-of-sight conditions, limiting their use in daily environments. This paper proposes a location-independent platform for motion capture, based on an array of IMU (inertial measurement unit) sensor nodes without individual wiring or onboard batteries, enabled by two-dimensional communication and power delivery over conductive fabric. Pipeline processing in each sensor node, combined with a token-passing protocol, enables collision-free and stable data acquisition at 50 Hz. Real-time three-dimensional reconstruction of flexible objects is further demonstrated by applying Hermite spline interpolation to orientation data from grid-aligned IMUs. Against a cylinder of known radius, the reconstructed surface deviates by 2.60 mm RMS over the 225 mm span of the array. The reconstruction is formulated for the quasi-static regime, and this letter empirically validates it in that regime. The hardware platform and communication protocol implemented in this work enable further investigation toward dynamic motion capture textiles.