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Related Concept Videos

Thermosensation01:43

Thermosensation

30.4K
Peripheral thermosensation is the perception of external temperature. A change in temperature (on the surface of the skin and other tissues) is detected by a family of temperature-sensitive ion channels called Transient Receptor Potential, or TRP, receptors. These receptors are located on free nerve endings. Those detecting cold temperatures are closer to the surface of the skin than the nerve endings detecting warmth. These thermoTRP channels, while temperature selective, have relatively...
30.4K
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

296
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.
296
Assessing Body Temperature - Temporal Artery01:19

Assessing Body Temperature - Temporal Artery

553
Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
Step 2: Explain the procedure to the patient to establish trust. Clear communication establishes trust with the patient, ensures they understand what to expect, promotes cooperation, and enhances comfort during the procedure.  
Step 3: Assess the patient's...
553
Assessing Body Temperature - Tympanic membrane01:14

Assessing Body Temperature - Tympanic membrane

582
Assessing tympanic membrane temperature involves using a tympanic membrane thermometer (TMT). Here is a step-by-step guide:
Step 1: Begin by practicing good hand hygiene to prevent the transmission of microorganisms.
Step 2: Turn on the thermometer and wait until the ready sign appears on the screen to ensure accurate measurement.
Step 3: Slide the probe cover in place to prevent cross-contamination.
Step 4: Instruct the patient to tilt their head to the side for comfort and check for cerumen...
582
Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

314
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...
314
Assessing Body Temperature - Oral01:14

Assessing Body Temperature - Oral

745
Here are the steps to accurately measure oral temperature using an electronic thermometer:
Step 1:
Start by practicing proper hand hygiene to prevent the spread of microorganisms.
Step 2:
Take the thermometer out of the charging unit, switch it on, and wait for the ready sign.
Step 3:
Gently slide the probe cover until a click is heard. This simple action prevents cross-contamination and ensures the correct placement of the probe cover.
Step 4:
Instruct the patient to open their mouth and place...
745

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Related Experiment Video

Updated: Jul 5, 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

Published on: September 1, 2016

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Data-Driven Contact-Based Thermosensation for Enhanced Tactile Recognition.

Tiancheng Ma1, Min Zhang1

  • 1Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.

Sensors (Basel, Switzerland)
|January 23, 2024
PubMed
Summary

This study introduces a novel thermosensation system using semi-infinite equivalence and a back propagation neural network. The system accurately measures thermal properties of materials, enhancing intelligent systems and robotics.

Keywords:
data-driven algorithmheat transfer modelingquantitative thermosensation

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A Tactile Automated Passive-Finger Stimulator TAPS
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Last Updated: Jul 5, 2025

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Method for Simultaneous fMRI/EEG Data Collection during a Focused Attention Suggestion for Differential Thermal Sensation
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Area of Science:

  • Robotics and Artificial Intelligence
  • Materials Science
  • Sensory Systems Engineering

Background:

  • Tactile perception is crucial for intelligent systems like robots and virtual reality, requiring accurate thermal property measurement.
  • Current contact-based thermosensation methods face challenges in real-world applications.
  • Enhanced thermosensation is vital for advancing autonomous systems' environmental perception.

Purpose of the Study:

  • To develop an innovative thermosensation system for accurate measurement of contact material thermal properties.
  • To address limitations in existing methods for thermal property assessment in dynamic scenarios.
  • To improve the perception capabilities of intelligent systems through enhanced thermosensation.

Main Methods:

  • A discrete transient heat transfer model was developed based on the semi-infinite equivalence principle.
  • A data-driven approach integrated the heat transfer model with a dual hidden-layer back propagation (BP) neural network.
  • The BP neural network was trained using simulated thermophysical data from 67 materials.

Main Results:

  • Experimental validation using flexible thin-film devices demonstrated measurement errors within 10% for thermal conductivity.
  • Measurement errors for thermal diffusion were within 20% across various heating conditions.
  • The system achieved quick, quantitative calculation and identification of contact materials.

Conclusions:

  • The developed thermosensation system offers a simplified and accurate method for measuring material thermal properties.
  • The approach eliminates the need for initial temperature adjustments, reducing measurement complexity and errors.
  • This innovation significantly contributes to the advancement of intelligent systems requiring precise thermal feedback.