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Design Example: Resistive Touchscreen

Design Example: Resistive Touchscreen

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.
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Tactile and Chemical Senses

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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.

Somatosensation

Somatosensation

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.

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Related Experiment Video

Updated: Sep 30, 2025

A Tactile Automated Passive-Finger Stimulator TAPS

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

Fabric Classification Using a Finger-Shaped Tactile Sensor via Robotic Sliding.

Si-Ao Wang¹, Alessandro Albini², Perla Maiolino²

¹MACLAB, Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi, Università degli Studi di Genova, Genoa, Italy.

Frontiers in Neurorobotics

|March 14, 2022

Summary

Robots can now classify fine fabric textures using tactile sensing and a sliding motion. Optimal contact pressure is key for accurate texture recognition, achieving up to 96% accuracy.

Keywords:

active touching haptic perception robotic touch tactile sensing texture identification

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Last Updated: Sep 30, 2025

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Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

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Published on: July 30, 2020

Area of Science:

Robotics
Materials Science
Artificial Intelligence

Background:

Tactile sensing enables robots to discern object properties through touch.
Robots can identify textures, even those with fine micro-geometry, using exploratory movements like sliding.
This capability is crucial for advanced robotic manipulation and interaction.

Purpose of the Study:

To investigate fine texture classification using robotic sliding experiments.
To develop a feature extraction method for tactile signals from sliding motions.
To analyze the impact of sliding parameters on texture classification accuracy.

Main Methods:

A finger-shaped multi-channel capacitive tactile sensor was employed for robotic sliding experiments.
Tactile signals were processed into low-dimensional feature vectors (≤7D) capturing frequency signatures.
Experiments varied sliding speed and pressure to assess their influence on feature space and classification.

Main Results:

A feature extraction process successfully encoded time-series tactile data into discriminative feature vectors.
Contact pressure significantly influenced the extracted feature vectors' significance, while sliding speed had minimal effect.
A k-Nearest Neighbors (k-NN) classifier achieved up to 96% accuracy in fabric texture classification.

Conclusions:

Robotic sliding with tactile sensing offers a viable method for fine texture classification.
Contact pressure is a critical parameter for effective tactile texture recognition.
The findings suggest potential for parametric texture representation to adapt robotic motion for improved tactile perception.