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

288
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...
288

You might also read

Related Articles

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

Sort by
Same author

A Deep-Learning-Enhanced Ultrasonic Biosensing System for Artifact Suppression in Sow Pregnancy Diagnosis.

Biosensors·2026
Same author

A Vibrotactile Belt for Measuring Vibrotactile Acuities on the Human Torso Using Coin Motors.

Micromachines·2024
Same author

The subpleural pulmonary microvasculature in newborn yak (Bos grunniens).

Veterinary research communications·2008
Same author

Experimental confirmation of potential swept source optical coherence tomography performance limitations.

Applied optics·2008
Same author

A germin-like protein gene family functions as a complex quantitative trait locus conferring broad-spectrum disease resistance in rice.

Plant physiology·2008
Same author

[Spatial and temporal changes of palatal cell proliferation and cell apoptosis of retinoic acid induced mouse cleft palate in different embryonic stages].

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology·2008

Related Experiment Video

Updated: Jun 9, 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

12.6K

Artificial Tactile Sensory Finger for Contact Pattern Identification Based on High Spatiotemporal Piezoresistive

Qiangqiang Ouyang1,2, Xiaoying Wang1, Shaoyi Wang1,3

  • 1Third Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou 510630, China.

ACS Applied Materials & Interfaces
|October 28, 2024
PubMed
Summary

This study developed an artificial tactile finger using a piezoresistive sensor array and convolutional neural network. It surpasses human fingertip performance in identifying complex contact patterns with high accuracy.

Keywords:
convolution neural networkflexible tactile sensorshigh spatiotemporal resolutionmachine learningpattern identificationpiezoresistive sensor array

More Related Videos

A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.6K
Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

Published on: July 30, 2020

2.9K

Related Experiment Videos

Last Updated: Jun 9, 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

12.6K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.6K
Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

Published on: July 30, 2020

2.9K

Area of Science:

  • Robotics
  • Materials Science
  • Biomimetics

Background:

  • Human tactile perception relies on specialized receptors for pattern recognition.
  • Existing artificial tactile sensors struggle to match human fingertip spatiotemporal resolution and accuracy.
  • Integrating sensors with machine learning is key but challenging for high-fidelity tactile sensing.

Purpose of the Study:

  • To develop an artificial tactile finger capable of high spatiotemporal resolution contact pattern identification.
  • To emulate and potentially surpass human fingertip tactile sensing capabilities.
  • To create a versatile platform for robotic tactile sensing applications.

Main Methods:

  • Developed an artificial tactile finger integrating a high spatiotemporal piezoresistive sensor array (PRSA).
  • Utilized a convolutional neural network (CNN) model for pattern recognition.
  • Compared artificial finger performance against human tactile perception using embossed and curved patterns.

Main Results:

  • The artificial finger achieved a temporal resolution of ~7 ms and a two-point threshold of 1.5 mm.
  • Demonstrated superior classification accuracy for simple (99.0%) and complex (96.1%) patterns compared to humans (69.1% and 22.7%).
  • The PRSA film enabled accurate pressure image acquisition for pattern analysis.

Conclusions:

  • The developed artificial tactile finger significantly outperforms human tactile perception in pattern recognition.
  • This technology offers a promising platform for advanced robotic tactile sensing.
  • Potential applications include prosthetics, skin electronics, and robotic surgery.