手势
手势识别
材料科学
对象(语法)
计算机视觉
人机交互
人工智能
计算机科学
作者
Jingzhi Tang,Kai Gou,Chong Wang,Minghui Wei,Qiuli Tan,Gengsheng Weng
标识
DOI:10.1002/adfm.202411172
摘要
Abstract A new galvanic cell design of a self‐powered and 3D‐printable soft sensor showing health monitoring, object recognition, and contactless hand gesture recognition, is reported. The soft sensor consists of a 3D‐printed poly(acrylic acid) (PAA) hydrogel electrolyte layer, a soft anode layer, and a soft cathode layer. The anode layer is a 3D‐printed and Cu 2+ cross‐linked poly( N , N ‐dimethylacrylamide‐ co ‐3‐alanine‐2‐hydroxypropylmethacrylate) (PDA) hydrogel dispersed with Cu metal particles (PDA/Cu 2+ /Cu hydrogel), while the cathode layer is a bottom thin layer of the PAA hydrogel containing MnO 2 (PAA/MnO 2 ). Using graphite films as the soft electrodes, the soft sensor is finally assembled. The soft sensor has high force and temperature sensitivities. It gives different electric current responses under stretching, bending, pressing, and impact loading. The soft sensor is demonstrated to be useful in detecting human motion and physiological activities, e.g., breath. Based on the force and contactless temperature sensitivities, the soft sensor is used to recognize human hand gestures and plastic balls with different diameters. This 3D printable soft sensor with self‐powering, contactless motion capturing, and multi‐pimulus sensing capabilities illustrates a new pathway to make soft sensory devices for healthcare and human‐machine interaction applications.
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