可穿戴计算机
材料科学
计算机科学
机制(生物学)
可穿戴技术
触觉传感器
3D打印
信号(编程语言)
机器人
3d打印
虚拟现实
人机交互
具身认知
仿生学
纳米技术
感知
压力传感器
人工智能
主动感知
对象(语法)
运动捕捉
芯(光纤)
机器人学
模拟
软机器人
作者
Yiyun Li,Yawen Yang,Zhangpeng Li,Bingji Wang,Limin Ma,Weihong Jia,Yue Wang,XC Wu,Shengrong Yang,Yi-Xiang Wang
摘要
ABSTRACT Embodied human‐machine interaction (EHMI) is predicated on the utilization of human motion signals as a medium of communication, with the objective of achieving a more natural, immersive, intuitive, and efficient interactive experience. The utilization of flexible hydrogel sensors as the EHMI core perception device remains limited due to discomfort caused by heavy loads and mechanical constraints. The present study developed a novel low‐constraint wearable hydrogel sensor patch (LCWHSP) based on the remote sensing mechanism of bionic spiders. The innovative integration of a Fenton‐like reaction into light‐curing 3D printing technology has facilitated the collaborative optimization of the printability and performance parameters of graphene‐Fe 3+ dynamically coordinated sodium alginate‐polyacrylamide (GFSP) double crosslinked hydrogel sensitive materials. The cross‐shaped structure design of the LCWHSP enables single‐point multidimensional sensing on the skin interface, thereby effectively reducing the sensation of wearing a foreign object caused by high‐density sensor arrays. High‐precision recognition of hand movements was achieved by utilizing a signal acquisition system and a deep learning analysis model (with an accuracy rate of 98.60%). Further using in typical EHMI scenarios, such as controlling virtual interfaces and manipulating robotic arms, fully validated its practical application potential.
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