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 1, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

A wearable, wireless gaze tracker with integrated selection command source for human-computer interaction.

Ville Rantanen1, Toni Vanhala, Outi Tuisku

  • 1Department of Automation Science and Engineering, Tampere University of Technology, Tampere, Finland. ville.rantanen@tut.fi

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|June 3, 2011
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

Sex and age differences of postural control in community-dwelling older adults.

Frontiers in human neuroscience·2026
Same author

Early Risk Factor Prediction in Chronic Kidney Disease Diagnosis Using Feature Selection and Machine Learning Algorithms.

Methods of information in medicine·2026
Same author

A new method for automated olfactory threshold testing.

Chemical senses·2025
Same author

A standardized lexicon of body odor words crafted from 17 countries.

Scientific data·2025
Same author

Online disinhibition mediates the relationship between emotion regulation difficulties and uncivil communication.

Scientific reports·2024
Same author

Comparison of machine learning methods in the early identification of vasculitides, myositides and glomerulonephritides.

Computer methods and programs in biomedicine·2023
Same journal

Categorization and segmentation of intestinal content frames for wireless capsule endoscopy.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

An intelligent scoring system and its application to cardiac arrest prediction.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Guest editorial: Multimedia services and technologies for e-health (MUST-EH).

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Editorial: From “information technology in biomedicine” to “biomedical and health informatics”.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Equipment location in hospitals using RFID-based positioning system.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2013
Same journal

Distributed system for cognitive stimulation over interactive TV.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society·2012
See all related articles

This study presents a wireless gaze tracker for hands-free computer control, enabling disabled users to interact via eye movements and facial gestures. The system demonstrates comparable accuracy to existing methods, enhancing accessibility.

Area of Science:

  • Human-Computer Interaction
  • Assistive Technology
  • Biomedical Engineering

Background:

  • Traditional human-computer interaction methods often require manual dexterity.
  • Existing gaze tracking systems can be limited by tethered hardware and lack integrated selection mechanisms.
  • There is a need for accessible and mobile interaction solutions for individuals with limited hand mobility.

Purpose of the Study:

  • To introduce a novel, lightweight, wearable, and wireless gaze tracker with an integrated selection command source.
  • To enable multimodal human-computer interaction using gaze pointing and facial gestures.
  • To improve accessibility for disabled individuals with limited hand mobility.

Main Methods:

  • Development of a prototype system combining head-mounted, video-based gaze tracking with capacitive facial movement detection.

More Related Videos

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
07:09

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

Related Experiment Videos

Last Updated: Jun 1, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
07:09

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

  • Implementation of algorithms for determining eye and head orientation to map gaze to screen coordinates.
  • Design of an algorithm to detect facial gesture commands from capacitance signals.

    • Main Results:

    • The multimodal system demonstrated decent performance in laboratory and office environments.
    • Point-and-click experiments showed overall accuracy comparable to previous single-modality gaze tracking research.
    • Wireless functionality was achieved, removing tethering limitations and enabling potential mobile applications.

    Conclusions:

    • The developed wireless gaze tracker offers a viable multimodal interaction method for individuals with limited hand mobility.
    • The system's performance is competitive with existing gaze tracking technologies, even with head orientation variations.
    • This technology has the potential to significantly enhance computer accessibility and user independence.