基于金属织物和自然摩擦带电的电子皮肤对人体运动的智能识别
Intelligent recognition of human motion using an ingenious electronic skin based on metal fabric and natural triboelectrification
徐锦杰 1陈婉翟 1刘樑杰 1江姗姗 1王浩楠 1张家翔 1甘昕艳 1周雄图 2郭太良 2吴朝兴 2张永爱2
作者信息
- 1. College of Physics and Information Engineering,Fuzhou University,Fuzhou 350108,China
- 2. College of Physics and Information Engineering,Fuzhou University,Fuzhou 350108,China;Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China,Fuzhou 350108,China
- 折叠
摘要
目前已开发出各种基于电子或光学信号的技术来感知身体运动,这在医疗保健、康复和人机交互等领域至关重要.然而,这些信号都是从身体外部获取的.本研究中,我们制备了一种电子皮肤(e-skin)人体运动传感器,它利用有机聚合物和金属织物的组合,通过人体的自然电荷感应(EI)来检测运动.该电子皮肤可获得高达450 V的人体电势信号.此外,该信号可通过最先进的深度学习技术自动提取和训练.该传感器能准确识别睡眠活动,准确率约为96.55％.这种可穿戴运动传感器可以与物联网技术无缝集成,实现多功能应用,展示了其在人类活动识别和人工智能方面的潜在用途.
Abstract
Various techniques based on electronic or op-tical signals have been developed to perceive body movements,which is essential in several fields such as healthcare,re-habilitation,and human-computer interaction.However,these signals are obtained externally,not from within the body.In this study,we introduce an electronic skin(e-skin)body motion sensor prepared using organic polymers and metal fabric to detect motion through the body's electro-in-duction(EI)via contact with the ground and shoes or through intrinsic contact electrification of the skin.The device can achieve an EI signal up to 450 V and charge data of 40 V and 2.45 μA when it is detached from the contacted skin.More-over,the signal can be automatically extracted and trained using the state-of-the-art deep learning techniques.The sensor can accurately track sleep activity with an accuracy rate of 96.55％.This wearable motion sensor can be seamlessly com-bined with the Internet of Things technology for multi-functional applications,highlighting its potential applications in human activity recognition and artificial intelligence.
关键词
human activity recognition/e-skin/sleep motion re-cognition/contact-separation electrification/1D-CNNKey words
human activity recognition/e-skin/sleep motion re-cognition/contact-separation electrification/1D-CNN引用本文复制引用
基金项目
Fujian Science &Technology Innovation Laboratory for Optoelectronic Information of China(2021ZZ130)
福建省自然科学基金(2021J01577)
出版年
2024
NETL
NSTL
万方数据