利用基于高灵敏度霍尔效应的辅助触觉传感器提高跨尺度灵敏度

Youngheon Yun, Dongchan Lee, Soyeon Lee, Salvador Pané, Josep Puigmartí‐Luis, Sungwoo Chun, Bumjin Jang
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引用次数: 0

摘要

该研究通过引入创新的结构,解决了传统霍尔效应触觉传感器的固有局限性,特别是其灵敏度受限的问题。通过细致的有限元分析优化,开发出了基于霍尔效应的辅助触觉传感器(HEATS),其特点是采用旋转方板配置作为最有效的辅助模式来提高灵敏度。实验验证表明,在很宽的传感范围内,灵敏度都有显著提高。在拉伸率分别为 0.9% 和 30% 时,HEATS 比非磁性传感器分别显著提高了 20 倍和 10 倍。此外,全面的测试表明,HEATS 在检测各种触觉刺激(包括肌肉运动和关节角度)方面具有超高的精度。HEATS 具有无与伦比的准确性和适应性,可在人机和人机交互领域提供广泛的潜在应用,在这些领域,微妙的触觉交流是先决条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors
The research addresses the limitations inherent in conventional Hall effect‐based tactile sensors, particularly their restricted sensitivity by introducing an innovative metastructure. Through meticulous finite element analysis optimization, the Hall effect‐based auxetic tactile sensor (HEATS), featuring a rotating square plate configuration as the most effective auxetic pattern to enhance sensitivity, is developed. Experimental validation demonstrates significant sensitivity enhancements across a wide sensing range. HEATS exhibits a remarkable 20‐fold and 10‐fold improvement at tensile rates of 0.9% and 30%, respectively, compared to non‐auxetic sensors. Furthermore, comprehensive testing demonstrates HEATS’ exceptional precision in detecting various tactile stimuli, including muscle movements and joint angles. With its unparalleled accuracy and adaptability, HEATS offers vast potential applications in human–machine and human–robot interaction, where subtle tactile communication is a prerequisite.
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