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相关概念视频

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

335
A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
335
Design Example01:23

Design Example

343
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
343
Somatosensation01:33

Somatosensation

36.7K
The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
36.7K
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

315
Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
315

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相关实验视频

Updated: Jul 16, 2025

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects
07:32

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Published on: September 1, 2016

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机器学习启用触摸传感器设计,用于动态触摸解码.

Yuyao Lu1, Depeng Kong1, Geng Yang1,2

  • 1State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|September 23, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种机器学习 (ML) 引导的方法来设计灵活的触觉传感器,在触觉感知中达到99.58%的准确性. 这种反向设计方法优化了传感器性能,用于手写识别和机器人触摸解码等应用.

关键词:
人机交互的人机交互激光诱导的石墨烯是一种激光.机器学习是机器学习.触觉传感器是一种触觉传感器.触摸解码的解码方法

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科学领域:

  • 材料科学 材料科学 材料科学
  • 机器人技术 机器人技术 机器人技术
  • 机器学习 机器学习

背景情况:

  • 灵活的触觉传感器对于医疗保健和人机交互至关重要.
  • 当前的传感器设计通常依赖于试错,将设备开发与应用需求分开.

研究的目的:

  • 为灵活的触觉传感器开发一个以机器学习 (ML) 为指导的反向设计策略.
  • 为了弥合传感器硬件设计和算法性能之间的差距.

主要方法:

  • 实现了基于支持矢量机 (SVM) 的ML算法来进行参数选择.
  • 利用统计标准,根据原始传感数据优化制造参数.
  • 开发了一个反向设计方法,将ML集成到硬件设计阶段.

主要成果:

  • 在六种动态触摸模式中实现了高分类精度 (≈99.58%) 的触摸感知.
  • 使用优化的传感器在手写应用中展示了高质量的信号识别.
  • 启用了机器人手高准确度的11位盲文电话号码的实时触摸解码.

结论:

  • 基于ML的反向设计策略显著提高了灵活的触觉传感器性能.
  • 这种方法有效地将统计学学习与传感硬件设计相结合,用于改进应用程序.
  • 优化的传感器显示出先进的人机界面和机器人系统的前景.