Body‐Coupled‐Driven Object‐Oriented Natural Interactive Interface
Jianlong Hong, Yukun Xiao, Yuqi Chen, Shengshun Duan, Shengxin Xiang, Xiao Wei, Huiyun Zhang, Lei Liu, Jun Xia, Qiongfeng Shi, Chengkuo Lee, Jun Wu
- 发表年份
- 2025
- 引用次数
- 11
摘要
The metaverse progressively demands heightened sophistication in human-multi-machine collaboration, accelerating development of hybrid immersive 2D tactile and 3D spatial perception interfaces. However, current interfaces struggle with the precision and adaptability in complex human-multi-machine interaction scenarios. This paper presents a transparent stretchable sensing interface synergizing 2D tactile and 3D spatial perception through body-coupled electromagnetic coupling. Its bi-modal coupling (resistive coupling and capacitive coupling) mechanism enables micrometer-scale 2D tactile sensing alongside broad 3D spatial perception (200 mm range). The contact mode achieves calligraphy-grade trajectory reconstruction (200 µm precision) with force tactile sensing, while the non-contact mode recognizes 38 gestures at 97.11% accuracy. The interface's mechanical transparency and elasticity permit seamless integration on curved surfaces (e.g., gloves and clothes) without perceptual interference. An object-oriented human-machine interaction (HMI) framework is developed to enable single-interface control of multiple devices through electromagnetic signature recognition, enhancing collaborative efficiency. This work can inspire designs of smart interfaces in intelligent healthcare monitoring, industrial robotics coordination, and cross-domain augmented reality applications.
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