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面向视力障碍群体的仿生电磁触觉传感器设计OA

Design of biomimetic electromagnetic tactile sensor for visually impaired groups

中文摘要英文摘要

[目的]视力障碍群体的规模与需求不容忽视,触觉传感器在辅助阅读领域的应用尤其值得关注,它既可集成于机器人或假肢系统,又能为视力障碍群体提供有效的盲文阅读工具,研究具有信息交互能力的视力辅助装置与盲文识别技术,对于实现视力障碍群体的技术支持具有重要意义.[方法]基于仿生原理模拟仿生毛发功能,采用具有磁性的铁镓合金丝作为仿生毛发,以霍尔元件作为毛发根部的感受器,并根据盲文字母阵点的尺寸,设计了一种仿生电磁触觉传感器.基于磁化强度、磁感应强度理论及力学方程,推导了传感器作用力与输出电压之间的关系曲线.搭建了由信号发生器、功率放大器、激振器、数据采集卡、计算机和直流稳压电源组成的动态特性测试系统,测试了触觉传感器的动态特性.[结果]测试结果表明,触觉传感器在0~1.5 N范围内可以实现作用力与电信号的转换,输出电压在0~1.5N作用力范围内随力的增加逐渐增大,当接触力小于0.5 N时,二者近似呈线性关系.传感器在1 Hz频率、0.2~1.4 N作用力范围内的输出电压稳定性较高;在1 Hz、1.0 N作用力下的灵敏度为34.5 mV/N;在1 Hz、0.5 N作用力时响应时间和恢复时间分别为20 ms和18 ms.利用所设计的仿生电磁触觉传感器,构建了由二指机械手、电机驱动滑台、数据采集卡和计算机等组成的盲文识别系统,通过对盲文阵点的扫描,确定了盲文字母与输出电压波形的对应关系.[结论]对所研制的电磁触觉传感器的输出特性进行了测试,实验结果与计算值较好吻合,表明计算模型能够描述作用力与输出电压之间的关系.设计的触觉传感器输出电压具有稳定性好、灵敏度高、响应速度快的特点,可用于静态和动态作用力的检测.应用盲文识别系统确定了盲文字母对应的电压波形,指出电压波形峰数、电压峰值强度和峰起始点所对应的时间可以作为识别盲文字母的判据,表明盲文识别系统具有识别盲文字母能力.研究成果可为视力障碍群体提供新的盲文识别工具和技术路径,可将触觉传感器与识别技术进行深度融合,面向视力障碍群体构建辅助技术支持系统.

[Objective]The size and needs of the visually impaired groups cannot be ignored.The application of tactile sensing in the field of assisted reading is particularly noteworthy.This technology can not only be integrated into robots or prosthetic systems,but also provide an effective braille reading tool for blind or visually impaired groups.Therefore,research on vision aids and braille recognition technology with information interaction competency is significantly valuable for offering technical support for visually impaired groups.[Methods]Based on biomimetic principles,the function of biomimetic hair was simulated.With magnetic iron-gallium wire as biomimetic hair and Hall elements as receptors at the hair roots,a biomimetic electromagnetic tactile sensor was designed according to the size of braille dots.Based on magnetization intensity and magnetic induction intensity theories as well as mechanical equations,the relationship curve between the sensor's applied force and output voltage was deduced.A dynamic characteristic testing system was constructed,which consisting of a signal generator,a power amplifier,a vibration exciter,data acquisition card,a computer and a direct current stabilized voltage supply.The dynamic characteristics of the tactile sensor were tested.[Results]Test results show that the tactile sensor can convert applied force into an electrical signal within the range of 0-1.5 N.Within the applied force range of 0-1.5 N,the output voltage gradually increases with higher force.When the contact force is less than 0.5 N,the two approach a linear relationship.The sensor exhibits high stability in output voltage under an applied force of 0.2-1.4 N at a frequency of 1 Hz.Under an applied force of 1.0 N at 1 Hz,its sensitivity is 34.5 mV/N.When the applied force is 0.5 N at 1 Hz,the response time and recovery time are 20 ms and 18 ms,respectively.The designed biomimetic electromagnetic tactile sensor was applied to establish a braille recognition system consisting of a two-finger robotic hand,a motor-driven slide,a data acquisition card,and a computer.The correspondence between braille letters and the output voltage waveform was determined by scanning the braille dots.[Conclusions]The output characteristics of the developed biomimetic electromagnetic tactile sensor were tested.The experimental results show good agreement with the calculated values,indicating that the calculated model can describe the relationship between the applied force and the output voltage.The designed tactile sensor features high stability,high sensitivity,and fast response speed,making it suitable for detecting both static and dynamic applied forces.The braille recognition system was used to determine the voltage waveform corresponded to the braille letters.It is pointed out that voltage waveform peak count,peak intensity,and peak initiation time can serve as the criteria for recognizing the braille letters,demonstrating that the braille recognition system can recognize braille letters.The research results can provide new braille recognition tools and technical pathways for visually impaired groups,allowing for the deep integration of tactile sensors and recognition technology to build assistive technology support systems for visually impaired groups.

王璐;周祎晨;党钰;黄珊;翁玲

河北工业大学 建筑与艺术设计学院,天津 300401||河北工业大学 河北省健康人居环境重点实验室,天津 300401河北工业大学 建筑与艺术设计学院,天津 300401河北工业大学 建筑与艺术设计学院,天津 300401河北工业大学 电气学院,天津 300401河北工业大学 电气学院,天津 300401

信息技术与安全科学

视力障碍群体仿生技术铁镓合金丝电磁传感器输出电压模型触觉感知盲文识别测试系统

visually impaired groupbiomimetic technologyFe-Ga alloy wireelectromagnetic sensoroutput voltage modeltactile perceptionbraille recognitiontesting system

《沈阳工业大学学报》 2026 (3)

56-62,7

河北省教育厅科学研究项目(BJS2024037).

10.7688/j.issn.1000-1646.2026.03.08

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