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Related Concept Videos

Visual System01:26

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...
Vision01:24

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.
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

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Related Experiment Video

Updated: Jun 16, 2026

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation
07:11

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

Published on: December 8, 2023

Vision-based tactile sensing enhanced by microstructures and lightweight convolutional neural network.

Mayue Shi1, Yongqi Zhang2, Xiaotong Guo2

  • 1Department of Electrical and Electronic Engineering, Imperial College London, London, UK. m.shi16@alumni.imperial.ac.uk.

Microsystems & Nanoengineering
|June 14, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel vision-based tactile sensor using microstructures to enhance touch sensing. The system achieves high precision and low computational cost for robotics and human-machine interaction.

Related Experiment Videos

Last Updated: Jun 16, 2026

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation
07:11

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

Published on: December 8, 2023

Area of Science:

  • Robotics and Human-Machine Systems
  • Sensor Technology
  • Computer Vision

Background:

  • Tactile sensing is crucial for interactive systems, but current vision-based sensors face limitations in sensitivity, resolution, and computational demands.
  • Existing tactile sensors often struggle with robustness and integration into soft robotic systems.
  • Deep learning for image processing in tactile sensing is computationally intensive.

Purpose of the Study:

  • To develop a novel microstructure-based tactile sensor design combined with efficient image processing.
  • To enhance the performance of vision-based tactile sensing in terms of sensitivity and spatial resolution.
  • To reduce the computational load associated with processing tactile sensor data.

Main Methods:

  • Designed a sensor with a surface featuring micromachined trenches to modulate light transmission and amplify visual responses.
  • Utilized an ultra-lightweight convolutional neural network for image feature extraction.
  • Employed theoretical analysis to demonstrate the amplification effect of micro trenches on surface deformation.

Main Results:

  • Achieved detection of forces below 5 mN and millimetre-level spatial resolution using a commercial webcam.
  • Obtained a mean absolute error below 0.05 mm with a single-convolutional-layer model.
  • Demonstrated significant amplification of visual effects from surface deformation via micro trenches.

Conclusions:

  • The novel microstructure design enhances tactile sensor performance and reduces computational requirements.
  • The system is compatible with soft robotics and immune to electromagnetic interference, suitable for complex human-machine environments.
  • This approach offers a robust and efficient solution for advanced tactile sensing applications.