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

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...
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

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. This...

You might also read

Related Articles

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

Sort by
Same author

Microbial Fermentation Reduces Xerostomia-Related 5-Demethylnobiletin in Aurantii Fructus: A Chromatographic and Pharmacological Evaluation.

Biomedical chromatography : BMC·2026
Same author

Engineering biopolymer nanoparticles for targeted nanomedicine in cancer therapy and food preservation.

Frontiers in nutrition·2026
Same author

Sorbitol-enhanced butyric acid production in mixed-culture anaerobic fermentation of potato peel waste.

Journal of environmental management·2026
Same author

Mechanisms by which α-ketoglutarate alleviates intestinal injury caused by carbonate-alkaline stress in crucian carp (Carassius auratus): Insights from metabolomics and microbiomics.

Comparative biochemistry and physiology. Part D, Genomics & proteomics·2026
Same author

Ammonia accumulation triggers hepatic metabolic dysregulation and oxidative damage in grass carp (Ctenopharyngodon idellus) exposed to carbonate alkalinity: A metabolomic insight.

Comparative biochemistry and physiology. Toxicology & pharmacology : CBP·2026
Same author

Fabrication of Hierarchical Chiral Coordination Polymer-Based Stationary Phases for Enhanced HPLC Enantioseparation.

ACS applied materials & interfaces·2026

Related Experiment Video

Updated: Jun 26, 2026

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

Deep learning-assisted object recognition with hybrid triboelectric-capacitive tactile sensor.

Yating Xie1, Hongyu Cheng1, Chaocheng Yuan1

  • 1Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.

Microsystems & Nanoengineering
|November 7, 2024
PubMed
Summary

This study introduces a novel hybrid tactile sensor, integrating triboelectric and capacitive units for advanced robotic perception. This sensor accurately identifies objects by analyzing texture and hardness, achieving 98.46% accuracy in tests.

More Related Videos

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
05:43

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

5.4K
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

401

Related Experiment Videos

Last Updated: Jun 26, 2026

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
Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
05:43

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

5.4K
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

401

Area of Science:

  • Robotics and Artificial Intelligence
  • Materials Science and Engineering
  • Sensor Technology

Background:

  • Tactile sensing is crucial for robots to interact with and understand their environment.
  • Existing sensors often struggle to differentiate objects based on subtle variations in texture and hardness.
  • Advanced human-machine interaction requires sophisticated tactile feedback for nuanced control.

Purpose of the Study:

  • To develop a hybrid tactile sensor combining triboelectric and capacitive sensing principles.
  • To enable accurate tactile object recognition based on material, texture, and hardness.
  • To demonstrate the sensor's potential in robotic perception and tactile intelligence.

Main Methods:

  • Fabrication of a hybrid sensor integrating porous polydimethylsiloxane (PDMS)-based triboelectric and capacitive units.
  • Utilizing deep learning algorithms for signal processing and object recognition.
  • Testing the sensor's performance in identifying 12 distinct samples with varying properties.

Main Results:

  • The hybrid sensor successfully distinguished between different objects and the same object in different states.
  • Achieved a high recognition accuracy of 98.46% for 12 tested samples.
  • Demonstrated that combining triboelectric (texture) and capacitive (hardness) data enhances recognition capabilities.

Conclusions:

  • The proposed hybrid tactile sensor offers a robust solution for advanced robotic object recognition.
  • Integration of triboelectric and capacitive sensing, coupled with deep learning, significantly improves tactile perception.
  • This technology holds substantial promise for enhancing robotic intelligence and human-machine interaction.