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

Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy.

European journal of sport science·2026
Same author

Multi-step first: A lightweight deep reinforcement learning strategy for robust continuous control with partial observability.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

PCNet: Accurate Surgical Workflow Recognition with Phase Consistency.

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

A biomechanics and energetics dataset of neurotypical adults walking with and without kinematic constraints.

Scientific data·2024
Same author

Experimental evaluation of accuracy and efficiency of two control strategies for a novel foot commanded robotic laparoscope holders with surgeons.

Scientific reports·2024
Same author

Adaptive auditory assistance for stride length cadence modification in older adults and people with Parkinson's.

Frontiers in physiology·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: Apr 18, 2026

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

1.5K

Hand gesture recognition based on surface electromyography.

Ali-Akbar Samadani, Dana Kulic

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 9, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel inter-individual hand gesture recognition model using Hidden Markov Models and surface electromyography (sEMG) signals. The model achieved a 79% recognition rate, showing potential for advanced prosthetics and assistive devices.

    More Related Videos

    Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction
    09:14

    Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction

    Published on: September 28, 2019

    12.4K
    Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans
    04:27

    Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

    Published on: March 15, 2019

    12.2K

    Related Experiment Videos

    Last Updated: Apr 18, 2026

    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

    1.5K
    Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction
    09:14

    Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction

    Published on: September 28, 2019

    12.4K
    Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans
    04:27

    Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

    Published on: March 15, 2019

    12.2K

    Area of Science:

    • Biomedical Engineering
    • Human-Computer Interaction
    • Signal Processing

    Background:

    • Hand gestures are crucial for non-verbal communication.
    • Surface electromyography (sEMG) signals contain rich information about hand movements.
    • Accurate hand gesture recognition is vital for developing intuitive control systems.

    Purpose of the Study:

    • To develop an inter-individual hand gesture recognition model using sEMG signals.
    • To evaluate the model's performance across different subjects.
    • To assess the potential of sEMG-based gesture recognition for assistive technologies.

    Main Methods:

    • Utilized Hidden Markov Models (HMMs) for gesture classification.
    • Employed surface electromyography (sEMG) signals as input data.
    • Implemented a leave-one-subject-out cross-validation strategy for inter-individual testing.

    Main Results:

    • Achieved an inter-individual recognition rate of 79% for 10 distinct hand gestures.
    • Demonstrated the model's efficacy in discriminating between gesture-specific sEMG patterns.
    • Validated the approach with data from 25 subjects.

    Conclusions:

    • The developed HMM-based sEMG model shows significant promise for inter-individual hand gesture recognition.
    • The findings support the application of this technology in designing advanced sEMG-controlled prostheses.
    • This approach could enhance the functionality of assistive devices for improved human-computer interaction.