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Related Concept Videos

Somatosensation01:33

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.
Design Example: Resistive Touchscreen01:14

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.
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...
Sensory Functions of the Skin01:16

Sensory Functions of the Skin

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.
There are two main categories of receptors on the skin: capsulated and non-capsulated. The non-capsulated ones are mainly the pain receptors. The capsulated ones can be further categorized based on the...
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

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. This...

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Related Experiment Video

Updated: Jun 5, 2026

A Tactile Automated Passive-Finger Stimulator (TAPS)
19:44

A Tactile Automated Passive-Finger Stimulator (TAPS)

Published on: June 3, 2009

Single-Pixel Tactile Skin via compressive sampling.

Ariel Slepyan1, Laura Xing2, Rudy Zhang3

  • 1Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA. aslepya1@jhu.edu.

Communications Engineering
|June 3, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces Single-Pixel Tactile Skin (SPTS), a novel tactile sensor array. SPTS uses hardware-based compressive sampling for high-speed, scalable tactile imaging, significantly reducing wiring complexity.

Related Experiment Videos

Last Updated: Jun 5, 2026

A Tactile Automated Passive-Finger Stimulator (TAPS)
19:44

A Tactile Automated Passive-Finger Stimulator (TAPS)

Published on: June 3, 2009

Area of Science:

  • Robotics and Machine Learning
  • Sensor Technology
  • Materials Science

Background:

  • Scaling tactile skins for robotics and prosthetics is challenging due to wiring complexity and limited readout bandwidth.
  • Existing tactile sensing methods often require extensive wiring and high data transfer rates.
  • Advanced human-machine interfaces demand high-resolution, high-speed tactile feedback.

Purpose of the Study:

  • To develop a scalable, high-speed tactile skin technology.
  • To overcome the limitations of wiring complexity and readout bandwidth in current tactile sensors.
  • To enable more responsive and sophisticated robotic and prosthetic applications.

Main Methods:

  • Introduction of Single-Pixel Tactile Skin (SPTS), a flexible, daisy-chainable tactile array.
  • Implementation of hardware-based compressive sampling using miniature microcontrollers for programmable analog weights.
  • Summation of all pixel currents into a single output channel for data acquisition.
  • Reconstruction of tactile images from global projections using sparse recovery algorithms.

Main Results:

  • Achieved over 98% object classification accuracy in a 10x10 array using only 20 measurements.
  • Demonstrated an effective readout speed of 3500 frames per second.
  • Successfully captured an 8ms projectile impact with 23 reconstructed frames.
  • Showcased progressive improvement in reconstruction quality with increasing measurement counts.

Conclusions:

  • SPTS offers a scalable solution for high-speed tactile sensing, overcoming traditional wiring and bandwidth limitations.
  • The compressive sampling approach enables rapid contact localization and progressive tactile image refinement.
  • This technology has the potential to significantly enhance physical interaction and control in robotics, prosthetics, and human-machine interfaces.