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

The prospects and challenges of closed-loop high-bandwidth brain-to-body-and-machine interfacing.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same author

Self-adaptive Under actuated Biomimetic Soft Robotic Hand Exoskeleton to Improve dexterity and Grasping Capabilities.

Bioinspiration & biomimetics·2026
Same author

Design and impact of systems for artificial sensory feedback in lower-limb prostheses.

Expert review of medical devices·2026
Same author

Recent Advances in Supplementary Haptic Feedback for Human-Machine Interfaces in Upper Limb Assistance and Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

From autonomy to alliance: Robotic foundation models must learn with us, not just for us.

Science robotics·2026
Same author

Continuous volitional control of a bionic leg supports diverse walking patterns in both agonist-antagonist muscle interface and bone-anchored prosthesis users.

PNAS nexus·2026
Same journal

Immediate changes during dysesthesia-matched transcutaneous electrical nerve stimulation in refractory neuropathic pain: a retrospective observational case series.

Journal of neuroengineering and rehabilitation·2026
Same journal

Sensor-derived heel pressure metrics capture reversible gait dysfunction beyond conventional gait measures in normal pressure hydrocephalus.

Journal of neuroengineering and rehabilitation·2026
Same journal

Determination of cut-off points for the Move4 accelerometer and assessment of energy expenditure in children and adolescents aged 6-16 years using manual wheelchairs: a validation and calibration study.

Journal of neuroengineering and rehabilitation·2026
Same journal

Safety, feasibility and preliminary effects of Atalante exoskeleton-assisted gait training in amyotrophic lateral sclerosis: a prospective ABA pilot study.

Journal of neuroengineering and rehabilitation·2026
Same journal

Effects of repetitive transcranial magnetic stimulation on cognition through sleep slow-wave activity in older adults.

Journal of neuroengineering and rehabilitation·2026
Same journal

Peripheral and central vestibular neuromodulation improve postural control in adolescent idiopathic scoliosis: a randomized, sham-controlled, multi-arm intervention study.

Journal of neuroengineering and rehabilitation·2026
See all related articles

Related Experiment Video

Updated: Jan 3, 2026

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

7.5K

Improving bimanual interaction with a prosthesis using semi-autonomous control.

Robin Volkmar1, Strahinja Dosen2, Jose Gonzalez-Vargas3

  • 1Department of Trauma Surgery, Orthopedics and Plastic Surgery, University Medical Center Göttingen, Von-Siebold-Str. 3, 37075, Göttingen, Germany.

Journal of Neuroengineering and Rehabilitation
|November 16, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new semi-autonomous control for myoelectric prostheses, enhancing bimanual task performance. The novel system improves prosthesis control and reduces user workload for amputees.

Keywords:
Bimanual interactionsInertial sensingMyocontrolMyoelectric prosthesisSemi-autonomous controlSensor-fusion

More Related Videos

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

10.1K
The Bionic Clicker Mark I & II
08:23

The Bionic Clicker Mark I & II

Published on: August 14, 2017

16.7K

Related Experiment Videos

Last Updated: Jan 3, 2026

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

7.5K
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

10.1K
The Bionic Clicker Mark I & II
08:23

The Bionic Clicker Mark I & II

Published on: August 14, 2017

16.7K

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Human-Computer Interaction

Background:

  • Myoelectric prostheses offer functional limb replacement but lack intuitive control, especially for bimanual tasks.
  • Bimanual coordination is challenging for amputees, and this area has been underserved in prosthetic research.
  • Current state-of-the-art (SoA) myoelectric control limits users' ability to exploit advanced prosthesis capabilities.

Purpose of the Study:

  • To develop and evaluate a novel semi-autonomous control method for myoelectric prostheses to simplify bimanual interactions.
  • To enhance prosthesis control by integrating inertial sensors for detecting limb movements and coordinating prosthesis actions.
  • To improve the user experience by reducing cognitive load and increasing the intuitiveness of prosthesis control during complex tasks.

Main Methods:

  • A semi-autonomous control approach was developed, augmenting SoA two-channel myoelectric control with two inertial measurement units.
  • Inertial sensors on the prosthesis and sound hand detect limb movements for automatic adjustment of prosthesis wrist rotation and grip type.
  • The system was evaluated by eight able-bodied subjects performing uni- and bimanual tasks, comparing the novel method against SoA myocontrol.

Main Results:

  • The novel control interface significantly outperformed SoA myoelectric control in bimanual task performance.
  • Task completion time decreased by 25% and perceived workload reduced by 27% with the semi-autonomous system.
  • Subjects rated the novel system as more intuitive compared to the SoA myocontrol.

Conclusions:

  • The proposed control scheme offers a practical solution for improving prosthesis control with minimal additional hardware.
  • The semi-autonomous system assists users in bimanual interactions, effectively reducing cognitive burden.
  • This approach enhances the functional capabilities of myoelectric prostheses for amputees, particularly in complex, everyday tasks.