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

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.

Various techniques based on electronic or optical signals have been developed to perceive body movements,which is essential in several fields such as healthcare, rehabilitation, 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-induction(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 and2.45 μA when it is detached from the contacted skin. Moreover, 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 of96.55%. This wearable motion sensor can be seamlessly combined with the Internet of Things technology for multifunctional applications, highlighting its potential applications in human activity recognition and artificial intelligence.