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Flexible Magnetoelectric Fiber for Self-Powered Human–Machine Interactive
ACS Sensors ( IF 8.2 ) Pub Date : 2024-10-25 , DOI: 10.1021/acssensors.4c01991 Xinyu Wang, Jieyao Qin, Junyao Gong, Xinjie Wei, Jianhong Guo, Wanjin Hu, Xiaofeng Wang, Zhuan Fu, Liangjun Xia, Weilin Xu
ACS Sensors ( IF 8.2 ) Pub Date : 2024-10-25 , DOI: 10.1021/acssensors.4c01991 Xinyu Wang, Jieyao Qin, Junyao Gong, Xinjie Wei, Jianhong Guo, Wanjin Hu, Xiaofeng Wang, Zhuan Fu, Liangjun Xia, Weilin Xu
Flexible large strain sensors are an ideal choice for monitoring human motion, but the current use of flexible strain gauges is hindered by the need for external power sources and long-term operation requirements. Fiber-based sensors, due to their high flexibility, excellent breathability, and the ease with which they can be embedded into everyday clothing, have the potential to become a novel type of wearable electronic device. This paper proposes a flexible self-powered strain sensing material based on the electromagnetic induction effect, composed of a uniform mixture of Ecoflex and Nd2Fe14B, which has good skin-friendliness and high stretchability of over 100%. The voltage output of the magnetoelectric composite fiber remains stable over 5000 stretch-release cycles, reaching up to 969 μV. Based on this novel sensing material, a remote smart car control scheme for a human–machine interaction system was designed, enabling real-time gesture interaction.
中文翻译:
用于自供电人机交互的柔性磁电光纤
柔性大型应变传感器是监测人体运动的理想选择,但目前柔性应变片的使用受到外部电源需求和长期运行要求的阻碍。基于纤维的传感器由于其高柔韧性、出色的透气性以及易于嵌入日常服装中,有可能成为一种新型的可穿戴电子设备。本文提出了一种基于电磁感应效应的柔性自供电应变传感材料,由 Ecoflex 和 Nd2Fe14B 均匀混合而成,具有良好的亲肤性和 100% 以上的高拉伸性。磁电复合纤维的电压输出在 5000 次拉伸释放循环中保持稳定,最高可达 969 μV。基于这种新颖的传感材料,设计了一种用于人机交互系统的远程智能汽车控制方案,实现了实时手势交互。
更新日期:2024-10-25
中文翻译:
用于自供电人机交互的柔性磁电光纤
柔性大型应变传感器是监测人体运动的理想选择,但目前柔性应变片的使用受到外部电源需求和长期运行要求的阻碍。基于纤维的传感器由于其高柔韧性、出色的透气性以及易于嵌入日常服装中,有可能成为一种新型的可穿戴电子设备。本文提出了一种基于电磁感应效应的柔性自供电应变传感材料,由 Ecoflex 和 Nd2Fe14B 均匀混合而成,具有良好的亲肤性和 100% 以上的高拉伸性。磁电复合纤维的电压输出在 5000 次拉伸释放循环中保持稳定,最高可达 969 μV。基于这种新颖的传感材料,设计了一种用于人机交互系统的远程智能汽车控制方案,实现了实时手势交互。