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Related Concept Videos

Somatosensation01:33

Somatosensation

41.0K
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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Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

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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...
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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.
415
Perception01:28

Perception

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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
702
Introduction to Special Senses01:26

Introduction to Special Senses

6.4K
Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive...
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Sensory Functions of the Skin01:16

Sensory Functions of the Skin

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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.
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...
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Related Experiment Video

Updated: Oct 25, 2025

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects
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Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

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Texture Recognition Based on Perception Data from a Bionic Tactile Sensor.

Shiyao Huang1, Hao Wu1

  • 1State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Sensors (Basel, Switzerland)
|August 10, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a bionic tactile sensor for robot texture recognition, achieving 98.5% accuracy with a convolutional neural network. This method offers a robust and computationally efficient solution for material identification.

Keywords:
convolutional neural networkmachine learningtactile perceptiontexture recognitionvibration data

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Area of Science:

  • Robotics
  • Materials Science
  • Artificial Intelligence

Background:

  • Accurate texture recognition is crucial for robotic manipulation.
  • Current methods often require high computational resources, limiting practical applications.

Purpose of the Study:

  • To develop accurate and computationally efficient texture recognition algorithms for robotic applications.
  • To explore the use of bionic tactile sensors for material surface characterization.

Main Methods:

  • A bionic tactile sensor was used to collect vibration data from ten different materials.
  • Four texture recognition algorithms were proposed: Support Vector Machine (SVM), Random Forest, K-Nearest Neighbor (KNN), and Convolutional Neural Network (CNN).

Main Results:

  • Machine learning algorithms achieved high accuracies: SVM (95%), Random Forest (94%), and KNN (94%).
  • A Convolutional Neural Network (CNN) further improved accuracy to 98.5%.
  • The study identified that 'asamoto' and 'polyester' textures were occasionally confused by machine learning models.

Conclusions:

  • The proposed bionic tactile sensing approach combined with machine learning, particularly CNNs, provides a highly accurate and robust method for texture recognition.
  • This technique offers a promising solution for enhancing robotic grasping and manipulation capabilities.