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 that Move the Thigh01:20

Muscles that Move the Thigh

4.0K
The thigh's motion is primarily governed by muscles originating in the pelvic girdle and inserted into the femur. One crucial muscle, the iliopsoas, is a combination of the psoas major and the iliacus muscles, sharing a common insertion point on the lesser trochanter of the femur.
Three other significant muscles are the gluteus maximus, gluteus medius, and gluteus minimus. The gluteus maximus originates from the posterior surface of the ilium, sacrum, and coccyx, and the thoracolumbar...
4.0K

You might also read

Related Articles

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

Sort by
Same author

Evaluation of the Importance of Stopping Elderly Accidents, Deaths, and Injuries (STEADI)-Based Factors in Wearable Fall Risk Assessment: Secondary Data Analysis.

JMIR mHealth and uHealth·2026
Same author

Unobtrusive Wearable System for Load Vertical Location Estimation.

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

Long-term sero-positivity for IgG, sequelae of respiratory symptoms, and abundance of malformed sperms in a patient recovered from severe COVID-19.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology·2021
Same author

Ubiquitous Fall Hazard Identification With Smart Insole.

IEEE journal of biomedical and health informatics·2020
Same author

Effects of Zinc Oxide and Arginine on the Intestinal Microbiota and Immune Status of Weaned Pigs Subjected to High Ambient Temperature.

Animals : an open access journal from MDPI·2020
Same author

Robust stabilization at uncertain equilibrium by output derivative feedback control.

ISA transactions·2020

Related Experiment Video

Updated: May 6, 2026

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

Human Motion Intention Recognition with Thigh Mounted IMUs.

Stella Ansah, Se Young Yoon, Diliang Chen

    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 summary is machine-generated.

    This study introduces a new method using thigh sensors to recognize intended movements for powered prostheses. It achieves over 99% accuracy, enabling timely and optimized prosthetic control for amputees.

    More Related Videos

    An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
    06:52

    An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

    Published on: May 26, 2020

    7.8K
    Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography
    04:06

    Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

    Published on: January 12, 2024

    539

    Related Experiment Videos

    Last Updated: May 6, 2026

    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
    An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
    06:52

    An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

    Published on: May 26, 2020

    7.8K
    Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography
    04:06

    Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

    Published on: January 12, 2024

    539

    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Technology
    • Human-Machine Interaction

    Background:

    • Powered prostheses enhance mobility and independence for amputees.
    • Accurate intention recognition is crucial for seamless user-prosthesis interaction.
    • Existing methods often require multiple sensors and struggle with varying walking speeds.

    Purpose of the Study:

    • To develop a novel, practical intention recognition system for powered prostheses.
    • To overcome limitations of multi-sensor setups and fixed-window analysis.
    • To improve prosthetic control by accurately predicting user motion intent.

    Main Methods:

    • Utilized solely thigh-mounted inertial measurement units (IMUs).
    • Implemented an event-based feature extraction approach.
    • Validated on 10,200 steps across walking, stair ascent, and descent activities from 10 healthy subjects.

    Main Results:

    • Achieved >99% accuracy in intention recognition across all subjects (Leave-One-Subject-Out validation).
    • Successfully generalized across different walking speeds and activities.
    • Recognized user activities 150-724 ms before the next foot contact event.

    Conclusions:

    • The proposed IMU-based, event-driven method offers a practical solution for powered prosthesis control.
    • High accuracy and early prediction demonstrate significant potential for real-world applications.
    • This approach facilitates optimized and timely control of prosthetic devices.