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

45.1K
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.
45.1K

You might also read

Related Articles

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

Sort by
Same author

Breathable and Washable E-Textile with Readily Integrated Piezoelectric Perfluoroalkoxy Fiber for Wide Temperature Range Human Machine Interfaces.

ACS applied materials & interfaces·2026
Same author

User preference-based human-in-the-loop tuning of exoskeleton assistance during walking.

npj biomedical innovations·2026
Same author

Biodegradable and Transparent Soft Piezoelectret Film with an Artificially Foamed Air Cell for Sustainable Bioelectronics.

ACS applied materials & interfaces·2026
Same author

Applying Palpation Forces on a Lower Jaw Model Using a Collaborative Robotic Arm.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same author

A method for approximating high frequency sound radiation-The plane projection Rayleigh integral.

The Journal of the Acoustical Society of America·2025
Same author

Vibrotactile Phantom Sensations in Haptic Wrist Rotation Guidance.

IEEE transactions on haptics·2025
Same journal

Vibrations Feel Longer than their Visual Analogues in Virtual Reality.

IEEE transactions on haptics·2026
Same journal

Power from Potential: A Survey of Electrostatic Actuators for Haptics.

IEEE transactions on haptics·2026
Same journal

Investigating the Role of Vibrotactile Cue Sequencing in Inducing Intuitive Wrist Motion from a Stationary Pose.

IEEE transactions on haptics·2026
Same journal

Active Lubrication Brakes in Tabletop and Hand-Held Haptic Surgical Drilling Simulators.

IEEE transactions on haptics·2026
Same journal

Subjective Evaluation of the Predictive Performance and Operability of a Two-Layer Regression-Based Texture Mixing System.

IEEE transactions on haptics·2026
Same journal

Study of the Influence of Visuo-Haptic Feedback on Prosthetic Embodiment.

IEEE transactions on haptics·2026
See all related articles

Related Experiment Video

Updated: Mar 22, 2026

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.4K

Pseudo-Haptic Feedback in Teleoperation.

Carsten Neupert, Sebastian Matich, Nick Scherping

    IEEE Transactions on Haptics
    |April 27, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study explores pseudo-haptic feedback for teleoperation, finding it feasible for enhancing user interaction. Performance improves with longer training, suggesting its potential for task-specific system design.

    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

    5.9K
    Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
    13:44

    Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

    Published on: August 8, 2011

    14.7K

    Related Experiment Videos

    Last Updated: Mar 22, 2026

    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
    05:21

    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

    Published on: January 7, 2019

    8.4K
    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

    5.9K
    Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
    13:44

    Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

    Published on: August 8, 2011

    14.7K

    Area of Science:

    • Human-Computer Interaction
    • Robotics
    • Control Systems

    Background:

    • Pseudo-haptic feedback offers a way to simulate touch in virtual environments.
    • Teleoperation systems require effective feedback mechanisms for remote task execution.

    Purpose of the Study:

    • To develop and evaluate pseudo-haptic feedback for teleoperation systems.
    • To identify key factors influencing pseudo-haptic feedback performance.
    • To assess learning effects in pseudo-haptic teleoperation.

    Main Methods:

    • Three compliance identification experiments were conducted.
    • Information transfer measures were used to assess performance.
    • A full-factorial experimental design with 36 subjects and 6,480 trials was employed.
    • Short- and long-term learning effects were analyzed over 10 days.

    Main Results:

    • Pseudo-haptic interaction in teleoperation showed well above-chance performance.
    • The calculation operator significantly impacted information transfer, while maximum displacement had a minor effect.
    • No significant learning effects were observed in single-day experiments.
    • Over 10 days, information transfer increased by up to 0.8 bit.

    Conclusions:

    • Pseudo-haptic feedback is a feasible technology for teleoperation systems.
    • The findings provide a design basis for optimizing task-specific teleoperation feedback.