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

Muscles of the Forearm that Move the Hand and Fingers01:17

Muscles of the Forearm that Move the Hand and Fingers

2.4K
The muscles of the forearm that move the wrist, hand, and digits are numerous and diverse. They can be classified into two groups based on their location and function — the anterior and posterior compartment muscles.
Anterior Compartment
The anterior compartment muscles originate from the humerus. They primarily function as flexors and are also known as flexor muscles. They typically insert on the carpals, metacarpals, and phalanges. The superficial layer includes the flexor carpi...
2.4K
Muscles that Move the Forearm01:16

Muscles that Move the Forearm

3.7K
The muscles that move the forearms can be divided into four groups: forearm flexors, forearm extensors, forearm pronators, and forearm supinators. The flexors and extensors act on the elbow joint, while the pronators and supinators act on the radioulnar joints.
Forearm Flexors
The biceps brachii, brachialis, and brachioradialis are forearm flexors. The biceps brachii is made up of two heads. Its long head originates at the supraglenoid tubercle of the scapula, whereas that of the short head is...
3.7K
Deformation in a Circular Shaft01:10

Deformation in a Circular Shaft

872
One of the distinctive characteristics of circular shafts is their ability to maintain their cross-sectional integrity under torsion. In other words, each cross-section continues to exist as a flat, unaltered entity, simply rotating like a solid, rigid slab. To understand the distribution of shearing stress within such a shaft, consider a cylindrical section inside this circular shaft. This section has a length of L and a radius of R, with one end fixed. The radius of the cylindrical section is...
872
Design Example: Frog Muscle Response01:14

Design Example: Frog Muscle Response

564
A student is tasked to work on an intriguing experiment involving an RL (Resistor-Inductor) circuit to study the muscle response of a frog's leg to electrical stimulation. The RL circuit plays a crucial role in this experiment, providing the means to control and measure the electrical impulses that trigger muscle contraction.
When the switch connecting the RL circuit is closed, a brief muscle contraction is observed. This is because, at a steady state, the inductor acts like a short...
564
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

441
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
441
Muscles that Move the Arm01:31

Muscles that Move the Arm

4.6K
Nine muscles are involved in arm movements. Two of these, the pectoralis major and latissimus dorsi, originate from the axial skeleton and are called axial muscles. The other seven originate from the scapula and are called the scapular muscles.
The pectoralis major has two origins. Its clavicular head originates on the medial half of the clavicle. In contrast, the sternocostal head originates on the costal cartilages of ribs 1-6, the sternum, and the aponeurosis of the external oblique of the...
4.6K

You might also read

Related Articles

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

Sort by
Same author

Correlation between the barrier function of the intestinal epithelium and susceptibility to PEDV infection in piglets at different ages.

Veterinary research·2026
Same author

Multimodal semantic learning for early fault diagnosis in warp knitting machines via masked fault modeling.

Scientific reports·2026
Same author

Dual-Mode Gated Thermal Switch with Branched Interface for Self-Adaptive Thermoregulation.

ACS applied materials & interfaces·2026
Same author

SJD++: Improved Speculative Jacobi Decoding for Training-free Acceleration of Discrete Auto-regressive Text-to-Image Generation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Programmable Dielectrophoretic Assembly of Carbon Nanotube Arrays for Multidirectional Strain Sensor.

Small methods·2026
Same author

Self-Assembled Liquid Crystal Interphase Enabling Long-Life All-Iron Redox Flow Batteries.

Angewandte Chemie (International ed. in English)·2026

Related Experiment Video

Updated: Jan 16, 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

10.2K

Designing Hand and Forearm Gestures to Control Virtual Forearm for User-Initiated Forearm Deformation.

Yilong Lin, Han Shi, Weitao Jiang

    IEEE Transactions on Visualization and Computer Graphics
    |October 3, 2025
    PubMed
    Summary

    This study introduces user-controlled virtual reality (VR) avatar forearm deformation using hand and forearm gestures. Findings offer design insights for enhancing embodiment and performance in VR interactions.

    More Related Videos

    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
    05:12

    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another

    Published on: September 18, 2017

    548.5K
    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

    1.2K

    Related Experiment Videos

    Last Updated: Jan 16, 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

    10.2K
    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
    05:12

    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another

    Published on: September 18, 2017

    548.5K
    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

    1.2K

    Area of Science:

    • Virtual Reality (VR) and Human-Computer Interaction (HCI)
    • Embodied Cognition in Virtual Environments

    Background:

    • Virtual reality (VR) technology enables avatar body deformation research, but existing studies primarily focus on passive expression.
    • Limited user control over avatar body deformation hinders immersive VR experiences and active interaction.

    Purpose of the Study:

    • To investigate user-controlled avatar forearm deformation through hand and forearm gestures.
    • To explore the mapping of gestures to various degrees of avatar forearm deformation.
    • To evaluate the impact of different gesture sets on user embodiment and performance in VR.

    Main Methods:

    • A gesture design workshop with six designers generated 15 gesture sets for forearm deformation.
    • Three highest-rated gesture sets were selected for further evaluation.
    • A comparative study assessed user embodiment and performance across the selected gesture sets.

    Main Results:

    • Gesture mapping enables users to actively control avatar forearm deformation.
    • Different gesture sets significantly impact the sense of embodiment and user performance.
    • The study identified effective gesture designs for intuitive avatar control.

    Conclusions:

    • User-controlled gestures are crucial for enhancing embodiment in VR avatar interactions.
    • Design recommendations are provided for creating effective gesture-controlled forearm deformation systems.
    • This research contributes to the development of more interactive and immersive VR experiences.