An intelligent hybrid-fabric wristband system enabled by thermal encapsulation for ergonomic human-machine interaction

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...

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Bibliographic Details
Published in:Nature communications 2025-01, Vol.16 (1), p.591-9, Article 591
Main Authors: Cheng, Aobo, Li, Xin, Li, Ding, Chen, Zhikang, Cui, Tianrui, Tao, Lu-Qi, Jian, Jinming, Xiao, HuiJun, Shao, Wancheng, Tang, Zeyi, Li, Xinyue, Dong, Zirui, Liu, Houfang, Yang, Yi, Ren, Tian-Ling
Format: Article
Language:English
Subjects:
147/135
639/301/1005/1007
639/301/1005/1009
639/301/923/1028
Algorithms
Encapsulation
Ergonomics
Fabrics
Gesture recognition
Gestures
Handwriting
Handwriting recognition
Human-computer interaction
Humanities and Social Sciences
Humans
Lightweight
Man-Machine Systems
multidisciplinary
Science
Science (multidisciplinary)
Sensors
Smart materials
Smart sensors
Stretchability
Textiles
Wearable Electronic Devices
Wearable technology
Weight reduction
Wrist - physiology
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Summary: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.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-55649-1