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

You might also read

Related Articles

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

Sort by
Same author

[Giant Mediastinal Mature Teratoma Treated by Thoracoscopic Surgery with a Lateral Mini-thoracotomy].

Kyobu geka. The Japanese journal of thoracic surgery·2025
Same author

What transgender individuals in Japan expect from gender-affirming surgery: A multicenter prospective observational study.

PCN reports : psychiatry and clinical neurosciences·2025
Same author

[Lung Volume Reduction for Chronic Obstructive Pulmonary Disease].

Kyobu geka. The Japanese journal of thoracic surgery·2025
Same author

Real-Time Estimation of Intended Lower-Limb Motion for Assist Robots.

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

[Bilateral Peripheral Pulmonary Artery Aneurysms:Report of a Case].

Kyobu geka. The Japanese journal of thoracic surgery·2025
Same author

A quinolinyl analog of resveratrol improves neuronal damage after ischemic stroke by promoting Parkin-mediated mitophagy.

Chinese journal of natural medicines·2025

Related Experiment Video

Updated: May 24, 2025

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

9.4K

Real-time Classification of Diverse Reaching Motions Using RMS and Discrete Wavelet Transform Energy Values from EMG

Yue Hou, Satoshi Nishikawa, Kazuo Kiguchi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary

    This study introduces a new method using electromyographic (EMG) signals to classify upper limb reaching motions for human assistive robots. The system accurately differentiates regular, extended, and weighted reaching, enabling more precise robot responses.

    More Related Videos

    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

    361
    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
    11:06

    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

    Published on: April 12, 2016

    10.4K

    Related Experiment Videos

    Last Updated: May 24, 2025

    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

    9.4K
    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

    361
    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
    11:06

    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

    Published on: April 12, 2016

    10.4K

    Area of Science:

    • Robotics
    • Biomedical Engineering
    • Human-Computer Interaction

    Background:

    • Advancements in human assistive robots aim to improve daily user efficiency.
    • Accurate classification of upper limb movements is crucial for intuitive robot control.
    • Existing methods may struggle to differentiate subtle variations in reaching motions.

    Purpose of the Study:

    • To propose an electromyographic (EMG) signal-based method for classifying three distinct upper limb reaching motions: regular, extended, and weighted.
    • To develop a system capable of accurately and promptly differentiating these motions irrespective of direction.
    • To lay the groundwork for enhanced human-assist robot responsiveness.

    Main Methods:

    • Utilizing electromyographic (EMG) signals from upper limb and torso muscles.
    • Identifying key signal features for distinguishing between different reaching motion types.
    • Employing a Gated Recurrent Unit (GRU) network for model training and intention inference.

    Main Results:

    • Demonstrated high efficiency in classifying the three types of reaching motions.
    • Successfully differentiated between regular, extended, and weighted reaching based on EMG features.
    • The proposed method proved robust regardless of motion direction.

    Conclusions:

    • The developed EMG-based motion classification method is effective for human assistive robot applications.
    • This technology enables robots to provide timely and precise responses to user intentions.
    • Further development can enhance the capabilities and integration of human-assist robots.