可穿戴计算机
计算机科学
墨水池
3D打印
摩擦电效应
匹配移动
可穿戴技术
运动捕捉
嵌入式系统
运动(物理)
工程类
材料科学
人工智能
机械工程
语音识别
复合材料
作者
Tao Song,Saihua Jiang,Nixin Cai,Guohua Chen
标识
DOI:10.1016/j.cej.2023.146292
摘要
Flexible wearable devices based on triboelectric nanogenerators (TENGs) can be used to track many parameters around the human body, including signals from motions, gestures, and contacts, to perform a variety of tasks. However, it is still a challenge to achieve wide working temperature and multi-parameter body motion sensing with TENG sensors. To address that, this work reports a facile 3D printing-based strategy for preparing functionalized heat-resistant TENG sensors. In detail, a printable heat-resistant ink and multiple 3D printing-based assembly methods are proposed. The as-fabricated ink, which could maintain up to 200 ℃, then serves as multiple components in the TENG sensors through patterning. Functionalized TENG sensors and human–machine interfaces are printed and subsequently networked on a human body to sense comprehensive motion information. The results indicate six typical motions can be recognized with 94.85% accuracy based on neural network algorithms. A simple digital twin for motion capture and trace tracking in virtual space is furthermore implemented. Combining the proposed TENG sensors with virtual reality (VR) platforms opens up a new road for human safety monitoring in high-temperature environments.
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