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

Fuzzy System-Based Target Selection for a NIR Camera-Based Gaze Tracker.

Rizwan Ali Naqvi1, Muhammad Arsalan2, Kang Ryoung Park3

  • 1Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, Korea. rizwanali@dongguk.edu.

Sensors (Basel, Switzerland)
|April 20, 2017
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

Adversarial CAM Guidance for Chest X-Ray Classification: Reducing Framing Sensitivity with Mask Supervision.

Biomimetics (Basel, Switzerland)·2026
Same author

Development of novel reinforcement learning-based optimizer to impede tumor growth via radiochemotherapy.

Scientific reports·2026
Same author

Inflammatory Myofibroblastic Tumor of the Gallbladder Mimicking Malignancy: A Case Report and Literature Review.

Clinical case reports·2026
Same author

Defect Diamond-Like d<sup>10</sup> Metal Indium Selenium With Strong Second-Harmonic Generation and Enhanced Laser-Induced Damage Threshold.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Morphology-Aware Deep Features and Frozen Filters for Surgical Instrument Segmentation with LLM-Based Scene Summarization.

Journal of clinical medicine·2026
Same author

MiMics-Net: A Multimodal Interaction Network for Blastocyst Component Segmentation.

Diagnostics (Basel, Switzerland)·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 study introduces a new fuzzy system for gaze-based interaction (GBI) target selection using near-infrared cameras. The proposed method improves accuracy and usability compared to traditional blinking or dwell-time techniques for gaze detection.

Area of Science:

  • Human-Computer Interaction
  • Biomedical Engineering
  • Computer Vision

Background:

  • Gaze-based interaction (GBI) is crucial for assistive technologies and enhancing human-computer interfaces (HCI).
  • Accurate gaze tracking is vital for GBI, but target selection remains a significant challenge.
  • Existing methods like blinking or dwell-time have limitations in user convenience and selection speed.

Purpose of the Study:

  • To propose an improved fuzzy system for target selection in near-infrared (NIR) camera-based GBI.
  • To address the limitations of current gaze-based target selection techniques.
  • To enhance the efficiency and user experience of GBI systems.

Main Methods:

  • Development of a novel fuzzy system for gaze-based target selection.
Keywords:
GBINIR camera-based gaze trackerfuzzy systemgazing at a target to select it

Related Experiment Videos

  • Integration with near-infrared (NIR) camera gaze trackers.
  • Experimental evaluation of the proposed method's performance, usability, and on-screen keyboard application.

    • Main Results:

    • The proposed fuzzy system demonstrates superior performance compared to previous target selection methods.
    • Experimental results indicate enhanced usability and efficiency in GBI tasks.
    • The method proved effective for on-screen keyboard interaction.

    Conclusions:

    • The fuzzy system-based approach offers a more effective solution for gaze-based target selection.
    • This advancement has the potential to significantly improve GBI applications, particularly for individuals with disabilities.
    • The method provides a promising alternative to conventional GBI selection techniques.