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

Optimization of head movement recognition using Augmented Radial Basis Function Neural Network.

Mitchell Yuwono1, A M Ardi Handojoseno, H T Nguyen

  • 1Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway, NSW 2011, Australia. Mitchell.Yuwono@student.uts.edu.au

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...

You might also read

Related Articles

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

Sort by
Same author

Clinical trial and real-world evidence of circulating tumor DNA monitoring to predict recurrence in patients with resected colorectal cancer.

ESMO real world data and digital oncology·2026
Same author

Correlation of Doppler indices and umbilical coiling with birthweight and small gestational age prediction in term pregnancies.

Journal of neonatal-perinatal medicine·2026
Same author

Integrated treatment-decision algorithms for childhood TB: modelling diagnostic performance and costs.

IJTLD open·2026
Same author

First report of <i>Pratylenchus parazeae</i> (Nematoda: Pratylenchidae) associated with rice in Vietnam.

Helminthologia·2025
Same author

Development of a questionnaire to screen for chronic obstructive respiratory diseases in low- and middle-income countries.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2025
Same author

Validation of a questionnaire to screen chronic obstructive respiratory diseases.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2025
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

This study introduces an Augmented Radial Basis Function Neural-Network (ARBF-NN) for reliable head movement control of power wheelchairs. The novel ARBF-NN achieves high accuracy, enhancing assistive technology for individuals with severe spine injuries.

Area of Science:

  • Biomedical Engineering
  • Artificial Intelligence
  • Rehabilitation Technology

Background:

  • Head movement recognition is a key control method for power wheelchairs in severe spinal cord injuries.
  • Existing systems face challenges in accuracy and reliability due to diverse movement patterns and artifacts.

Purpose of the Study:

  • To develop an advanced neural network for improved head movement recognition in power wheelchair control.
  • To overcome the limitations of conventional Radial Basis Function Neural-Networks (RBF-NNs).

Main Methods:

  • Proposed an Augmented Radial Basis Function Neural-Network (ARBF-NN), integrating a Multilayer Perceptron (MLP) layer.
  • Optimized Radial Basis Function (RBF) centroids using Regrouping Particle Swarm Optimization (RegPSO) seeded with K-Means clustering.

Related Experiment Videos

  • Evaluated the ARBF-NN's performance on head movement recognition tasks.

    • Main Results:

    • The ARBF-NN demonstrated significant improvements in recognition accuracy.
    • Achieved a high sensitivity of up to 98.1% in head movement recognition trials.
    • The MLP augmentation effectively addressed optimization limitations of linear classifiers in conventional RBF-NNs.

    Conclusions:

    • The ARBF-NN offers a more reliable and accurate solution for head movement-based power wheelchair control.
    • This advancement has the potential to enhance the independence and quality of life for individuals with spinal cord injuries.
    • The proposed method provides a robust framework for complex pattern recognition in assistive technologies.