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模仿人类皮肤热感功能的热源识别传感器。

Heat source recognition sensor mimicking the thermosensation function of human skin.

作者信息

Sun Wenting, Zhang Pengxiang, Lin Xinyi, Wang Yupeng, Wang Shuaihua, Yang Bin, Zheng Zijian, Liu Weishu

机构信息

Department of Materials Science and Engineering, Southern University and Science and Technology, Shenzhen 518055, China.

School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China.

出版信息

Innovation (Camb). 2024 Jul 2;5(5):100673. doi: 10.1016/j.xinn.2024.100673. eCollection 2024 Sep 9.

Abstract

The human skin maintains a comfortable and healthy somatosensory state by sensing different aspects of the thermal environment, including temperature value, heat source, energy level, and duration. However, state-of-the-art thermosensors only measure basic temperature values, not the full range of the thermosensation function of human skin. Here, we propose a heat source recognition () sensor of poly(butyl acrylate)-lithium bis(n-fluoroalkylsulfonyl)imide (PBA-Li:FSI;  = 1, 3, 5), which enables response to temperature, pressure, and proximity stimulus signals based on the relaxation behavior of the ionic gel and distinguished between different types of heat sources (i.e., radiation, convection, and conduction). The sensor was integrated into a prosthetic limb covered by an e-skin with isothermal regulation, and experiments with a robot showed that it could achieve human-like thermosensation function, recognizing multidimensional information about thermal environments, such as temperature value, comfort level, and heat source signal. This work deeply mimics the human body's thermosensation function and provides a reliable solution for the development of bionic e-skin for intelligent robots and prosthetics.

摘要

人体皮肤通过感知热环境的不同方面,包括温度值、热源、能量水平和持续时间,来维持舒适且健康的躯体感觉状态。然而,目前最先进的热传感器仅能测量基本温度值,无法涵盖人体皮肤热感觉功能的全部范围。在此,我们提出一种聚(丙烯酸丁酯)-双(n-氟代烷基磺酰)亚胺锂(PBA-Li:FSI;n = 1, 3, 5)的热源识别传感器,它能够基于离子凝胶的弛豫行为对温度、压力和接近刺激信号做出响应,并区分不同类型的热源(即辐射、对流和传导)。该传感器被集成到一个由具有等温调节功能的电子皮肤覆盖的假肢中,对机器人进行的实验表明,它能够实现类似人类的热感觉功能,识别有关热环境的多维信息,如温度值、舒适度和热源信号。这项工作深入模仿了人体的热感觉功能,为智能机器人和假肢的仿生电子皮肤开发提供了可靠的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afb0/11780393/d2fff6fa9f75/fx1.jpg

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