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

A new device for facilitating urethral intermittent self-catheterization by female patients: results of a pilot study.

The journal of spinal cord medicine·2026
Same author

Person-specific evaluation method for occupational exoskeletons - Biomechanical body heat map.

Applied ergonomics·2025
Same author

Performance characterization of a novel semi-active exoskeleton for overhead work.

Wearable technologies·2025
Same author

Quantification of the Mechanical Properties in the Human-Exoskeleton Upper Arm Interface During Overhead Work Postures in Healthy Young Adults.

Sensors (Basel, Switzerland)·2025
Same author

iAssistADL: Intelligent Assistive Device for Patients with Neurodegenerative Movement Disorder: Concepts and First Implementations.

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

The effect of sensor-to-source distance on magnetic neuromuscular signals.

Scientific reports·2025

Related Experiment Video

Updated: Jun 19, 2025

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton
09:46

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton

Published on: June 16, 2016

20.6K

Automatic support control of an upper body exoskeleton - Method and validation using the Stuttgart Exo-Jacket.

Raphael Singer1, Christophe Maufroy1, Urs Schneider1

  • 1Biomechatronic Systems, Fraunhofer-Gesellschaft, Institute for Manufacturing Engineering and Automation (IPA), Stuttgart, Germany.

Wearable Technologies
|July 25, 2024
PubMed
Summary

Active exoskeletons offer dynamic support but lack intuitive control. This study presents a novel approach using movement and muscle signals to predict user demand, enabling more natural and comfortable industrial applications.

Keywords:
ControlExoskeletonsHuman-Robot InteractionIndustryPhysical Human-Robot Interactive Controllers

More Related Videos

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
06:44

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand

Published on: May 20, 2020

7.0K
A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients
05:54

A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients

Published on: May 16, 2025

122

Related Experiment Videos

Last Updated: Jun 19, 2025

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton
09:46

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton

Published on: June 16, 2016

20.6K
Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
06:44

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand

Published on: May 20, 2020

7.0K
A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients
05:54

A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients

Published on: May 16, 2025

122

Area of Science:

  • Human-Computer Interaction
  • Robotics
  • Biomechanics

Background:

  • Passive exoskeletons have limitations in flexibility for many occupational tasks.
  • Active exoskeletons require sophisticated control systems for dynamic support, which are currently lacking for upper limb applications.

Purpose of the Study:

  • To develop and validate a novel control approach for active upper limb exoskeletons.
  • To focus on estimating the user's demand for support to enable intuitive exoskeleton behavior.

Main Methods:

  • A two-part functionality was developed: motion interpretation (preprocessing) and support detection.
  • Combined upper limb movement and muscle activation signals were utilized.
  • The system was trained and validated with different subjects performing object manipulation tasks.

Main Results:

  • The system achieved high accuracy in training.
  • Validation demonstrated effectiveness for both unknown subjects and unknown tasks.
  • The approach showed promise for integration into automatic support control (ASC) systems.

Conclusions:

  • The developed functionality is a viable first step towards a full-fledged automatic support control (ASC) for upper limb exoskeletons.
  • This method enables intuitive exoskeleton behavior, enhancing user comfort and applicability in industrial settings.