运动捕捉
物理
计算机科学
运动(物理)
材料科学
加速度
流离失所(心理学)
控制理论(社会学)
运动控制
工作(物理)
经典力学
算法
计算机视觉
作者
Chendong Zhao,Jimei Liu,B Zhang,Liu X,Yi Jiang,Qinglong He,Mengzhou Liao,Yu Zhao,Caofeng Pan,Valeria Nicolosi,Chuanfang Zhang
出处
期刊:ACS Nano
[American Chemical Society]
日期:2026-05-08
卷期号:20 (20): 14479-14487
标识
DOI:10.1021/acsnano.5c20704
摘要
Accurately capturing hand movements remains a challenge because the skin undergoes stretching, compression and bending at the same time, yet most flexible sensors respond only to tension. Achieving high sensitivity and a wide range often means making the sensor thick, which causes the sensing layer to shift under complex deformations and distorts the signal. Here, we address this by placing the strain-accommodating space within a plane parallel to the strain direction. Using a MXene/polyurethane ink with glycerol as a molecular bridge, we create a dense hydrogen-bonding network that enables high-resolution printing of a planar spring architecture. The resulting all-printed sensor achieves a gauge factor of 83.7 across a linear bidirectional range of ±60% strain. With just two sensors, we track and decode complex wrist motions with ±10° accuracy. When attached to finger joints, they enable real-time, dexterous control of a virtual hand. This work provides an alternative approach for skin strain capture through synergistic innovation in materials and architecture.
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