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 Video

Updated: Jun 18, 2026

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

An assisted navigation training framework based on judgment theory using sparse and discrete human-machine

Ana C Lopes1, Urbano Nunes

  • 1Institute of Systems and Robotics, University of Coimbra, Polo II, Portugal. anacris@isr.uc.pt

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary
This summary is machine-generated.

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

High-Pressure Processing Effects on Microbiological Stability, Physicochemical Properties, and Volatile Profile of a Fruit Salad.

Foods (Basel, Switzerland)·2024
Same author

Assessment of child development in premature babies based on the ICF biopsychosocial model.

European journal of physical and rehabilitation medicine·2020
Same author

Detection of Stressful Situations Using GSR While Driving a BCI-controlled Wheelchair.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020
Same author

Prognostic factors in MNU and DMBA-induced mammary tumors in female rats.

Pathology, research and practice·2017
Same author

Control of Brain Activity in hMT+/V5 at Three Response Levels Using fMRI-Based Neurofeedback/BCI.

PloS one·2016
Same author

Toward a reliable gaze-independent hybrid BCI combining visual and natural auditory stimuli.

Journal of neuroscience methods·2015
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 a new framework to train individuals with severe motor disabilities to steer assisted mobile robots (AMRs) using non-standard interfaces. The system characterizes user abilities to adapt robot navigation for improved control.

Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Rehabilitation Engineering

Background:

  • Individuals with severe motor disabilities face challenges operating standard Human-Machine Interfaces (HMIs) for assisted mobile robot (AMR) control.
  • Non-standard HMIs (e.g., scanning interfaces, brain-computer interfaces) offer limited, discrete commands, complicating AMR navigation.

Purpose of the Study:

  • To present a novel Assisted Navigation Training Framework (ANTF) for training users with severe motor disabilities to steer AMRs.
  • To develop a user characterization system for adapting AMR navigation to individual steering competence.

Main Methods:

  • The ANTF framework trains users in indoor structured environments using HMIs with sparse, discrete commands.
  • A rule-based lens (RBL) model characterizes user steering performance.

More Related Videos

Practical Methodology of Cognitive Tasks Within a Navigational Assessment
05:19

Practical Methodology of Cognitive Tasks Within a Navigational Assessment

Published on: June 1, 2015

Related Experiment Videos

Last Updated: Jun 18, 2026

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

Practical Methodology of Cognitive Tasks Within a Navigational Assessment
05:19

Practical Methodology of Cognitive Tasks Within a Navigational Assessment

Published on: June 1, 2015

  • A genetic-based policy capturing (GBPC) technique infers non-compensatory judgment strategies from human decision data.

    • Main Results:

    • The study presents three distinct user models representing different learning stages within the RBL paradigm.
    • The framework enables characterization of user performance in steering AMRs.

    Conclusions:

    • The ANTF provides a structured approach to train and characterize users with severe motor disabilities for AMR operation.
    • User characterization is crucial for adapting AMR navigation systems to enhance control and usability for individuals with motor impairments.