计算机科学
人机系统
可穿戴计算机
手势
人机交互
封装(网络)
可穿戴技术
嵌入式系统
人工智能
计算机网络
作者
Aobo Cheng,Xin Li,Ding Li,Zhikang Chen,Tianrui Cui,Lu‐Qi Tao,Jinming Jian,Haiyan Xiao,Wancheng Shao,Ze-Yi Tang,Xinyue Li,Zirui Dong,Houfang Liu,Yi Yang,Tian‐Ling Ren
标识
DOI:10.1038/s41467-024-55649-1
摘要
Human-machine interaction has emerged as a revolutionary and transformative technology, bridging the gap between human and machine. Gesture recognition, capitalizing on the inherent dexterity of human hands, plays a crucial role in human-machine interaction. However, existing systems often struggle to meet user expectations in terms of comfort, wearability, and seamless daily integration. Here, we propose a handwriting recognition technology utilizing an intelligent hybrid-fabric wristband system. This system integrates spun-film sensors into textiles to form the smart fabric, enabling intelligent functionalities. A thermal encapsulation process is proposed to bond multiple spun-films without additional materials, ensuring the lightweight, breathability, and stretchability of the spun-film sensors. Furthermore, recognition algorithms facilitate precise accurate handwriting recognition of letters, with an accuracy of 96.63%. This system represents a significant step forward in the development of ergonomic and user-friendly wearable devices for enhanced human-machine interaction, particularly in the virtual world. Balancing comfort, wearability and integration for human-machine interaction systems is difficult. The authors develop a hybrid-fabric wristband system, where spun-film sensors are integrated into textiles, enabling a lightweight, breathable, and stretchable device.
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