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Related Concept Videos

Somatosensation01:33

Somatosensation

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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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Tactile and Chemical Senses01:27

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.
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Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

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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...
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Sensory Functions of the Skin01:16

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The skin is the largest organ of the human body and plays a crucial role in our sensory perception. It contains a vast network of sensory receptors that contribute to the skin's protective function by perceiving physical, biological, and environmental cues and generating relevant responses.
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Related Experiment Video

Updated: Dec 7, 2025

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
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Texture Discrimination with a Soft Biomimetic Finger Using a Flexible Neuromorphic Tactile Sensor Array That Provides

Sriramana Sankar1, Darshini Balamurugan2, Alisa Brown1

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.

Soft Robotics
|September 25, 2020
PubMed
Summary

This study developed a soft prosthetic finger with neuromorphic tactile sensing for texture discrimination, achieving 99.57% accuracy. This technology aims to provide amputees with a more natural sensory experience and enhance prosthesis functionality.

Keywords:
flexible tactile sensorneuromorphic encodingsensory feedbacksoft biomimetic fingersupervised learning

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Area of Science:

  • Biomimetic robotics
  • Neuroprosthetics
  • Tactile sensing

Background:

  • Soft robotic fingers offer safe object manipulation.
  • Prosthetic tactile sensing can improve amputee experience.
  • Neuromorphic sensors mimic biological sensory processing.

Purpose of the Study:

  • To integrate a soft biomimetic finger with a neuromorphic tactile sensor array.
  • To enable texture discrimination using spike-based features.
  • To provide sensory feedback for a more natural prosthesis.

Main Methods:

  • A pneumatically actuated soft finger was combined with a textile neuromorphic tactile sensor.
  • Tactile sensor outputs were converted into neuromorphic spike trains.
  • Spike-based features were used with a support vector machine classifier for texture differentiation.

Main Results:

  • The system achieved 99.57% average classification accuracy on 13 textured surfaces.
  • Performance was evaluated across 16 parameters (finger flexion angles and palpation speeds).
  • Transcutaneous electrical nerve stimulation successfully conveyed texture information to subjects.

Conclusions:

  • This soft biomimetic finger with neuromorphic encoding demonstrates high accuracy in texture discrimination.
  • Neuromorphic techniques and sensory feedback show potential for creating more human-like prostheses.
  • Texture feedback can significantly enhance user interaction with their environment.