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

Controller Configurations01:22

Controller Configurations

Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller aligns...
Design Example01:23

Design Example

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...

You might also read

Related Articles

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

Sort by
Same author

Robust in-situ stress inversion in an underground powerhouse using tensor synthesis and surrogate-assisted differential evolution.

Scientific reports·2026
Same author

Next-Generation Short-Wave Infrared LED Phosphors Based on Chromium Doped Rare Earth Sulfides.

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

BrainParc: unified lifespan brain parcellation from structural magnetic resonance images.

Nature computational science·2026
Same author

An intelligent group decision algorithm to analyze the promotion of female leisure sports behavior in colleges and universities.

Scientific reports·2025
Same author

Defect passivation and crystallization modulation in methylammonium-free wide-bandgap perovskites for all-perovskite tandem solar cells.

Science advances·2025
Same author

Superharmonic resonance study and fault diagnosis induced by slant crack in rotor-bearing system.

ISA transactions·2025
Same journal

Multiphysics Investigation on Thermal Characteristics of Internal Bio-Inspired V-Ribbed Cooling Channels for Outer Rotor PMSM.

Biomimetics (Basel, Switzerland)·2026
Same journal

Smart Logistics Model for Supply Chain Management via Brain-Inspired Geometric Deep Networks.

Biomimetics (Basel, Switzerland)·2026
Same journal

A Systematic Taxonomy of the Sunflower Optimization Algorithm: Variants, Hybridization Strategies, Applications, and Research Directions.

Biomimetics (Basel, Switzerland)·2026
Same journal

Toward a Compositional Theory of Trust in Embodied Intelligence: A QNLP Framework for Modeling Context, Interaction, and Trustworthiness.

Biomimetics (Basel, Switzerland)·2026
Same journal

Empirical Logic for Bio-Inspired Soft Computing: Illustrative Applications in Control Engineering and Cluster Analysis.

Biomimetics (Basel, Switzerland)·2026
Same journal

A Modified Multi-Strategy Dhole Optimization Algorithm and Its Engineering Applications.

Biomimetics (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 28, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

An Efficient Multi-Channel Electrotactile Parameter Configuration Method for Personalized Teleoperation.

Kaicheng Zhang1, Kairu Li1, Peiyao Wang1

  • 1School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China.

Biomimetics (Basel, Switzerland)
|May 26, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to quickly personalize electrotactile feedback for robotic teleoperation. By using a simulation-derived ranking, it significantly reduces calibration time for users.

Keywords:
electrotactile devicesfinite element analysishuman–robot interactionteleoperation

More Related Videos

Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

Related Experiment Videos

Last Updated: May 28, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

Area of Science:

  • Robotics and Human-Computer Interaction
  • Biomedical Engineering
  • Computational Neuroscience

Background:

  • Electrotactile feedback offers compact tactile cues for robotic teleoperation.
  • Personalized calibration of electrotactile systems is time-consuming due to inter-user variability in tactile perception.

Purpose of the Study:

  • To develop a subject-informed computational model for optimizing electrotactile feedback configurations.
  • To propose a simulation-derived ranking method, the Perceived Correctness Score (PCS), to expedite personalized calibration.

Main Methods:

  • A multi-layer finite element model of fingertip electric-field distribution was coupled with a neural-response model.
  • A gradient boosting regression model recommended optimal electrode diameter-spacing combinations from 36 candidates.
  • Validation involved a shape/area recognition task with six subjects using a custom electrotactile system.

Main Results:

  • The predicted PCS moderately correlated with measured recognition accuracy (Pearson r = 0.48, p < 0.05).
  • The model achieved Top-1 exact matching for 50% of subjects and Top-5 coverage for 83%.
  • Average configuration time was reduced by 87.0%, from 122.7 min to 16.0 min.

Conclusions:

  • Model-guided ranking substantially reduces the time and effort required for individualized electrotactile configuration.
  • This approach enhances the efficiency of deploying personalized tactile feedback systems in robotic applications.