Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

460
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...
460
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

380
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.
380
Somatosensation01:33

Somatosensation

39.1K
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.
39.1K
Design Example01:23

Design Example

383
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
383
Sensory Functions of the Skin01:16

Sensory Functions of the Skin

6.1K
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...
6.1K
Sensory Modalities01:15

Sensory Modalities

1.8K
Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
1.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cigarette butt recycling in South Korea: environmental policy failure and the limits of extended producer responsibility.

Tobacco control·2026
Same author

EpCAM<sup>+</sup> Extracellular Vesicle PD-L1 Dynamics as a Predictive Biomarker of Immune Checkpoint Blockade Response.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Monolithic 3D-Integrated All-Solid Ion-Gated Carbon Nanotube Transistors With Tunable Ionic Conductance for Multi-Timescale Reservoir Computing.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

BRAF Mutation and Tumor Growth Kinetics during Active Surveillance of Papillary Thyroid Microcarcinoma: A Single-Center Retrospective Study.

Endocrinology and metabolism (Seoul, Korea)·2026
Same author

Association between the use of e-cigarettes and heated tobacco products and asthma prevalence in adolescents: A secondary dataset analysis of the Korea Youth Risk Behavior Survey 2022-2024.

Tobacco induced diseases·2026
Same author

The differential effects of stigma on mental health service use by age groups: A comparison study based on Korean nationwide survey 2011 and 2021.

Psychiatry research·2026

Related Experiment Video

Updated: Sep 29, 2025

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

12.9K

Frequency-selective acoustic and haptic smart skin for dual-mode dynamic/static human-machine interface.

Jonghwa Park1, Dong-Hee Kang1, Heeyoung Chae2

  • 1School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 689-798, Republic of Korea.

Science Advances
|March 25, 2022
PubMed
Summary

This study introduces novel triboelectric sensors for dual-mode human-machine interfaces (HMIs). These sensors enable accurate, noise-independent voice recognition and robot control, enhancing HMI functionality.

More Related Videos

Testing Tactile Masking between the Forearms
08:05

Testing Tactile Masking between the Forearms

Published on: February 10, 2016

6.5K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.8K

Related Experiment Videos

Last Updated: Sep 29, 2025

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

12.9K
Testing Tactile Masking between the Forearms
08:05

Testing Tactile Masking between the Forearms

Published on: February 10, 2016

6.5K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.8K

Area of Science:

  • Materials Science
  • Engineering
  • Biomedical Engineering

Background:

  • Accurate biosignal transmission is crucial for effective human-machine interfaces (HMIs).
  • Environmental noise significantly interferes with biosignal acquisition and HMI performance.
  • Existing sensors often struggle with noise immunity and dual-mode operation.

Purpose of the Study:

  • To develop frequency-selective acoustic and haptic sensors for dual-mode HMIs.
  • To achieve noise-independent voice recognition and tactile sensing capabilities.
  • To enable advanced control of robotic systems via HMIs.

Main Methods:

  • Fabrication of triboelectric sensors using ferroelectric composites with a hierarchical structure.
  • Integration of multichannel acoustic sensor arrays.
  • Utilizing artificial neural networks for signal processing and voice recognition.
  • Testing sensor performance under various dynamic pressures and acoustic noise conditions.

Main Results:

  • The developed sensors exhibit high sensitivity and linearity across a wide dynamic pressure range.
  • Achieved high acoustic frequency selectivity from 145 to 9000 Hz.
  • Demonstrated over 95% accurate voice recognition in the presence of noise (100 to 8000 Hz).
  • Successfully differentiated surface textures and controlled an avatar robot using dual-mode inputs.

Conclusions:

  • The proposed triboelectric sensors offer a robust solution for noise-independent HMIs.
  • Dual-mode sensing capabilities enhance the functionality and applicability of HMIs.
  • The technology facilitates advanced applications in robotics and human-computer interaction.