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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.

Vision

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

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Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...

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Updated: Jun 2, 2025

A Tactile Automated Passive-Finger Stimulator TAPS

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

A Proximity and Tactile Sensor with Visual Multiresponse.

Junwen Yu^1,2, Quanwang Niu^1,2, Hao Wu^1,2

¹College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

ACS Applied Materials & Interfaces

|January 17, 2025

Summary

This summary is machine-generated.

This study introduces a novel visual electronic skin capable of real-time proximity and tactile sensing with optical feedback. This advancement enhances electronic skin intelligence and human-computer interaction through integrated visual and electrical data.

Keywords:

human-computer interaction mechanoluminescence multiresponse proximity and tactile visualization

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Area of Science:

Materials Science
Robotics
Sensor Technology

Background:

Electronic skin enhances device perception but lacks real-time visual feedback for proximity and tactile sensing.
Current sensors struggle to provide integrated visual and electrical data for intuitive interaction.

Purpose of the Study:

To develop a proximity and tactile electronic skin with integrated visual feedback capabilities.
To address the challenge of real-time visualization in multi-response sensing for enhanced electronic skin intelligence.

Main Methods:

Designed a visual capacitive sensor for optical early warning and electrical recognition upon proximity, and optical display/electrical output upon contact.
Characterized sensor performance including detection range, linearity, sensitivity, and stability, establishing force-capacitance-light intensity relationships.
Developed a 5x5 sensor array and integrated machine learning for combined optical and electrical information recognition.

Main Results:

The visual capacitive sensor successfully achieved optical early warning and electrical recognition for proximity detection.
The sensor demonstrated optical display and electrical output during object contact, correlating force, capacitance, and light intensity.
A 5x5 sensor array enabled object proximity and dynamic force trajectory detection, with machine learning facilitating multifunctional control.

Conclusions:

The developed visual electronic skin overcomes real-time visualization challenges in tactile sensing.
This innovation advances electronic skin towards multidimensional, multifunctional, and intelligent applications.
The integrated approach significantly enhances human-computer interaction through multi-modal sensing.