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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.
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...
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the stimulus...
Factors Affecting Perception01:25

Factors Affecting Perception

Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
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...

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Related Experiment Video

Updated: Jun 21, 2026

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

Factors Involved in Tactile Texture Perception through Probes.

Takashi Yoshioka1, Julia Zhou

  • 1Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218, USA.

Advanced Robotics : the International Journal of the Robotics Society of Japan
|July 21, 2009
PubMed
Summary
This summary is machine-generated.

Human texture perception using a probe is multi-dimensional, varying between individuals. Despite differences, reliable texture discriminations are consistently made, informing robotic system design and sensory feedback for teleoperations.

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Related Experiment Videos

Last Updated: Jun 21, 2026

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

Assessment of Spatial Lingual Tactile Sensitivity using a Gratings Orientation Test
06:00

Assessment of Spatial Lingual Tactile Sensitivity using a Gratings Orientation Test

Published on: September 17, 2021

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
  • Human-Computer Interaction
  • Sensory Neuroscience

Background:

  • Understanding human texture perception is key for developing advanced robotic systems.
  • Direct touch (fingertip) and indirect touch (probe) involve multi-dimensional texture continua (roughness, hardness, stickiness).

Purpose of the Study:

  • To investigate individual subject variability in probe-mediated texture perception.
  • To compare texture perception similarities and differences between direct and indirect touch methods.

Main Methods:

  • Subjects explored texture surfaces using a probe, with data collected on their perception.
  • Analysis focused on individual subject variability, scanning velocities, and texture dimensions (rough, hard, sticky).

Main Results:

  • Significant individual variability was observed in reliance on different texture dimensions and scanning velocities.
  • Despite within-subject variability, subjects demonstrated reliable texture discriminations and magnitude estimations via probe-mediated touch.

Conclusions:

  • Probe-mediated texture perception exhibits individual differences but maintains reliable discrimination capabilities.
  • Findings are valuable for designing robotic sensory systems and improving sensory feedback in teleoperation.