2026-10-06T14:38:44Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33792910 2026-09-15T12:52:30Z category_33464 category_31892 category_31973 portal_2 item_type_3 month_year_09_2026

Supplementary information files for "Passive chips-in-yarn integration for on-fabric batteryless identification and sensing" Rusong Yang (772047) Yulong Liu (736976) Fangli Chen (20626880) Liekun Yang (24723334) Terry Tao Ye (24933380) Lulu Xu (16003025) Materials engineering Macromolecular and materials chemistry Physical chemistry Smart yarn Radio frequency identification Wireless sensing Fiber-based electronics Smart textiles Wearable electronics <p dir="ltr">Supplementary files for article "Passive chips-in-yarn integration for on-fabric batteryless identification and sensing"<br><br>Smart clothing has the potential to monitor the body continuously, but most current systems still rely on rigid electronic modules, batteries, and wired connections. These components reduce flexibility, comfort, washability, and long-term usability. Here, we report a passive chips-in-yarn strategy for creating battery-free electronic yarns that can be integrated directly into fabrics. In this approach, radio frequency identification (RFID) chips are embedded inside yarn structures, allowing the yarns to be wirelessly powered and read by an external RFID reader without onboard batteries. The RFID chip is connected to conductive filaments that act as yarn-shaped antennas, while local encapsulation and a braided sheath protect the chip–filament junction during textile manufacturing and use. By engineering different antenna geometries, RFID yarns enable multiple functions: ID-only yarns for garment life-cycle identification, deformation-sensitive yarns for passive movement monitoring through wireless signal changes, and temperature-sensing yarns for distributed on-body thermal mapping. The resulting RFID yarns showed mechanical robustness, wash durability, and compatibility with textile weaving integration. With multiple chip-enabled yarns embedded into garments, this work demonstrates a fabric-scale sensing network that is lightweight, battery-free, and maintenance-free. This work advances smart textiles from module-attached wearable devices toward textile-native sensing systems, where passive electronic functions are embedded directly within the yarn structure.<br><br>© Crown, CC BY 4.0</p> 2026-08-28T00:00:00Z Dataset Dataset 10.17028/rd.lboro.33792910.v1 https://figshare.com/articles/dataset/Supplementary_information_files_for_Passive_chips-in-yarn_integration_for_on-fabric_batteryless_identification_and_sensing_/33792910 CC BY 4.0