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...
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...
Somatosensation01:33

Somatosensation

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.

You might also read

Related Articles

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

Sort by
Same author

Can wearable exoskeletons reduce gender and disability gaps in the construction industry?

Assistive technology : the official journal of RESNA·2026
Same author

Assistive Control of Knee Exoskeletons for Human Walking on Sandy Terrain.

IEEE transactions on bio-medical engineering·2025
Same author

A phase division-based multi-segment foot model for estimating dynamic foot arch stiffness during walking.

PloS one·2025
Same author

Towards Investigating Residual Hearing Loss: Quantification of Fibrosis in a Novel Cochlear OCT Dataset.

IEEE transactions on bio-medical engineering·2025
Same author

Biomechanical Comparison of Human Walking Locomotion on Solid Ground and Sand.

Journal of biomechanical engineering·2025
Same author

ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training.

IEEE transactions on pattern analysis and machine intelligence·2024
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Jun 18, 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

Electro-tactile preference identification using fuzzy logic.

M Fadali1, Yantao Shen, Saeed Jafarzadeh

  • 1Department of Electrical and Biomedical Engineering, University of Nevada, Reno, Nevada, 89557 USA. fadali@unr.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a fuzzy logic model to assess user tactile preferences for electro-tactile rehabilitation systems. This innovation helps personalize devices like the electro-tactile Braille display for the visually impaired.

More Related Videos

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)

Published on: July 30, 2020

Related Experiment Videos

Last Updated: Jun 18, 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

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)

Published on: July 30, 2020

Area of Science:

  • Rehabilitation Engineering
  • Human-Computer Interaction
  • Fuzzy Logic Control Systems

Background:

  • Electro-tactile rehabilitation systems require user-specific tuning for optimal tactile feedback.
  • Assessing individual tactile preferences in real-time presents a significant practical challenge.
  • Existing systems lack adaptive capabilities to cater to diverse user needs.

Purpose of the Study:

  • To propose and evaluate a novel approach for on-line assessment of user tactile preference.
  • To develop a self-tuning mechanism for electro-tactile systems based on user feedback.
  • To enhance the usability and effectiveness of assistive technologies for the visually impaired.

Main Methods:

  • Utilized a Takagi-Sugeno-Kang (TSK) fuzzy logic model for preference assessment.
  • Employed real-time measurements of voltage and power absorbed by the fingertip.
  • Implemented a control approach for on-line adaptation of tactile feedback parameters.

Main Results:

  • The TSK fuzzy logic model demonstrated successful modeling of user tactile preferences.
  • The system effectively adapted to individual user feedback in real-time.
  • Validation of the fuzzy logic approach for personalized electro-tactile stimulation.

Conclusions:

  • Fuzzy logic provides a viable method for assessing and adapting to user tactile preferences.
  • This approach can significantly improve the performance of electro-tactile rehabilitation devices.
  • The developed model is being integrated into an electro-tactile Braille display (E-Braille) for the Blind and Visually Impaired (BVI).