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 Experiment Videos

A Prosthetic Hand Body Area Controller Based on Efficient Pattern Recognition Control Strategies.

Simone Benatti1, Bojan Milosevic2, Elisabetta Farella3

  • 1Micrel Lab, Unversity of Bologna, 40126 Bologna, Italy. simone.benatti@unibo.it.

Sensors (Basel, Switzerland)
|April 20, 2017
PubMed
Summary

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

Long-term availability of powered exoskeleton for ambulation in domestic context: A cross-sectional study to assess safety, usage pattern, and satisfaction after long-term use.

Spinal cord series and cases·2026
Same author

FEMBA on the Edge: Physiologically-Aware Pre-Training, Quantization, and Deployment of a Bidirectional Mamba EEG Foundation Model on an Ultra-Low Power Microcontroller.

IEEE transactions on bio-medical engineering·2026
Same author

ChemoNETosis in Cancer: A Comprehensive Review of Treatment-Induced NET Formation and Therapeutic Consequences.

Cells·2026
Same author

Current Trends in Ultrasound Wearables: Spotlight on System Architecture.

IEEE reviews in biomedical engineering·2026
Same author

Experimental Investigation of the Flexural Performance of Continuous Self-Compacting Concrete Beams with Natural and Recycled Aggregates.

Materials (Basel, Switzerland)·2026
Same author

Co-Adaptive Velocity and Position Control of 3-DoFs Prosthesis via Incremental Learning.

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

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles
This summary is machine-generated.

This study introduces an intuitive prosthetic hand controller using myoelectric gesture recognition. The system achieves a 1.6% error rate for real-time control, enhancing upper limb amputee functionality.

Area of Science:

  • Biomedical Engineering
  • Human-Computer Interaction
  • Rehabilitation Robotics

Background:

  • Poliarticulated prosthetic hands improve amputee quality of life but often have non-intuitive control strategies.
  • Current Human-Machine Interfaces (HMIs) rely on complex muscle contraction encoding, creating a gap between research and practical application.
  • Myoelectric gesture recognition offers potential for innovative prosthetic control but faces implementation challenges.

Purpose of the Study:

  • To design and develop a wearable prosthetic hand controller with intuitive gesture recognition and a custom control strategy.
  • To integrate an efficient embedded gesture classifier with a control strategy for natural user-prosthesis interaction.
  • To bridge the gap between research-level myoelectric gesture recognition and functional prosthetic systems.
Keywords:
BSNEMGgesture recognitionhuman machine interactionprosthetics

Related Experiment Videos

Main Methods:

  • Designed a wearable node for direct actuation of a poliarticulated hand.
  • Developed an intuitive gesture recognition system coupled with a custom control strategy.
  • Integrated wireless communication with a smartphone for algorithm training and personalization.
  • Implemented and tested the system on healthy and amputee subjects, comparing performance against benchmarks.

Main Results:

  • Achieved a 1.6% error rate in real-time control of common hand gestures.
  • Demonstrated superior performance compared to systems focusing solely on pattern recognition accuracy.
  • The combined approach prioritized intuitive control over classification accuracy.
  • The system operated within the power and performance constraints of a low-cost microcontroller.

Conclusions:

  • The proposed wearable controller offers an intuitive and efficient solution for poliarticulated prosthetic hands.
  • The integrated system effectively bridges the gap between myoelectric gesture recognition research and practical implementation.
  • This approach significantly improves the Human-Machine Interface for upper limb prosthetics, enhancing functionality for amputees.