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

Somatosensation01:33

Somatosensation

45.5K
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.
45.5K
Sensory Functions of the Skin01:16

Sensory Functions of the Skin

9.3K
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...
9.3K
Accessory Structures of the Skin: Hair and Hair Follicles01:16

Accessory Structures of the Skin: Hair and Hair Follicles

5.5K
Hair and hair follicles are integral components of the integumentary system. Hair is a filamentous structure composed mainly of a protein called keratin. It is found on the surface of the skin throughout the body, except for areas such as the palms of the hands and soles of the feet.
Hair is a keratinous filament growing out of the epidermis. It is primarily made of dead, keratinized cells. Hair strands originate at the epidermal penetration called the hair follicle. The hair shaft is the part...
5.5K
Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

873
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...
873

You might also read

Related Articles

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

Sort by
Same author

The 2026 global roadmap for textile-integrated wearable technologies in health.

Physiological measurement·2026
Same author

A Novel Wearable Sensor for Measuring Respiration Continuously and in Real Time.

Sensors (Basel, Switzerland)·2024
Same author

Wirelessly Powered Drug-Free and Anti-Infective Smart Bandage for Chronic Wound Care.

IEEE transactions on biomedical circuits and systems·2023
Same author

Electrical Discharges in Oil-Lubricated Rolling Contacts and Their Detection Using Electrostatic Sensing Technique.

Sensors (Basel, Switzerland)·2022
Same author

The Staircase Drive-A Novel Actuator Design Optimised for Daisy-Chaining and Minimum Stress Load Coupling.

Sensors (Basel, Switzerland)·2021
Same author

Using explainable machine learning to characterise data drift and detect emergent health risks for emergency department admissions during COVID-19.

Scientific reports·2021

Related Experiment Video

Updated: Mar 27, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

2.4K

Surface texture detection with artificial fingers.

N H H Mohamad Hanif, Paul H Chappell, Andy Cranny

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
    PubMed
    Summary

    This study introduces an artificial finger with a piezoelectric sensor to detect surface textures. This prosthetic innovation shows promise for restoring a lost sense of touch in individuals with limb differences.

    More Related Videos

    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
    08:15

    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

    Published on: March 28, 2025

    1.4K
    Testing Tactile Masking between the Forearms
    08:05

    Testing Tactile Masking between the Forearms

    Published on: February 10, 2016

    6.9K

    Related Experiment Videos

    Last Updated: Mar 27, 2026

    Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
    09:41

    Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

    Published on: April 21, 2023

    2.4K
    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
    08:15

    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

    Published on: March 28, 2025

    1.4K
    Testing Tactile Masking between the Forearms
    08:05

    Testing Tactile Masking between the Forearms

    Published on: February 10, 2016

    6.9K

    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Technology
    • Sensory Prosthetics

    Background:

    • Restoring tactile sensation is crucial for prosthetic limb functionality.
    • Surface texture detection is a vital aspect of natural touch perception.
    • Current prosthetic technologies often neglect the sense of texture.

    Purpose of the Study:

    • To design and evaluate an artificial finger capable of sensing surface textures.
    • To explore the potential of piezoelectric sensors for texture detection in prosthetics.
    • To correlate sensor signals with the dimensional characteristics of surface textures.

    Main Methods:

    • Development of an artificial finger prototype.
    • Integration of a piezoelectric sensor at the fingertip.
    • Utilizing exploratory movements to gather texture data.
    • Analyzing signal frequencies generated by the sensor.

    Main Results:

    • The artificial finger successfully detected various surface textures.
    • Generated signal frequencies reliably correlated with groove and ridge widths.
    • Demonstrated the sensor's ability to differentiate textures based on dimensional properties.

    Conclusions:

    • The piezoelectric sensor-equipped artificial finger shows significant potential for texture sensing.
    • This technology offers a pathway to recreating lost touch sensation in prosthetic devices.
    • Further development could enhance prosthetic realism and user experience.