Multitask Virtual Keyboard Controlled by an Eye-Gaze-Based Intelligent Entry System

In modern society, computers and cell phones play an integral role in individuals' everyday lives. Individuals utilize messaging platforms such as WhatsApp, WeChat, and Facebook daily to communicate with others. Virtual keyboards are a significant tool in assistive technology because they aid individuals with significant motor disabilities in making effective contact with computers. This study proposes an eye-gaze-controlled virtual keyboard using a new method called Distance Eyelid-Iris-MediaPipe, which enables individuals with disabilities to write effectively. The suggested virtual keyboard is an affordable assistive device because it only necessitates a webcam for operation. The proposed virtual keyboard consists of six supplementary menus: two menus for English letters, one for numerical digits and mathematical operations, one for important text operations, one for Latin symbols, and an emoji menu. The suggested keyboard has special characteristics such as auditory feedback and visual highlighting of pressed keys. The testing of the proposed system received positive feedback from several users, and the empirical results of the proposed system were better than those of the previous models. It achieved this with an average typing rate of 18 characters per minute and 4 words per minute, and it had a NASA-TLX score of 10% and a system usability scale score of 93. Received: 27 April 2025| Revised: 25 June 2025| Accepted: 11 July 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Amal Hameed Khaleel: Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Project administration. Thekra Abbas: Methodology, Validation, Resources, Writing – original draft, Writing – review & editing, Supervision. Abdul-Wahab Sami Ibrahim: Conceptualization, Formal analysis, Investigation, Resources, Writing – review & editing, Supervision.

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Publication Details

Journal
Journal of Computational and Cognitive Engineering
Published
2025-08-27
DOI
https://doi.org/10.47852/bonviewjcce52026027
Citations
1
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
1.94
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article

Multitask Virtual Keyboard Controlled by an Eye-Gaze-Based Intelligent Entry System

Thekra Abbas, Amal Hameed Khaleel, Abdul-Wahab Sami Ibrahim
1 citations
Journal of Computational and Cognitive Engineering
Gaze Tracking and Assistive Technology
1.94
article

Multitask Virtual Keyboard Controlled by an Eye-Gaze-Based Intelligent Entry System

Thekra Abbas, Amal Hameed Khaleel, Abdul-Wahab Sami Ibrahim
article en
1 citations

Abstract

In modern society, computers and cell phones play an integral role in individuals' everyday lives. Individuals utilize messaging platforms such as WhatsApp, WeChat, and Facebook daily to communicate with others. Virtual keyboards are a significant tool in assistive technology because they aid individuals with significant motor disabilities in making effective contact with computers. This study proposes an eye-gaze-controlled virtual keyboard using a new method called Distance Eyelid-Iris-MediaPipe, which enables individuals with disabilities to write effectively. The suggested virtual keyboard is an affordable assistive device because it only necessitates a webcam for operation. The proposed virtual keyboard consists of six supplementary menus: two menus for English letters, one for numerical digits and mathematical operations, one for important text operations, one for Latin symbols, and an emoji menu. The suggested keyboard has special characteristics such as auditory feedback and visual highlighting of pressed keys. The testing of the proposed system received positive feedback from several users, and the empirical results of the proposed system were better than those of the previous models. It achieved this with an average typing rate of 18 characters per minute and 4 words per minute, and it had a NASA-TLX score of 10% and a system usability scale score of 93. Received: 27 April 2025| Revised: 25 June 2025| Accepted: 11 July 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Amal Hameed Khaleel: Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Project administration. Thekra Abbas: Methodology, Validation, Resources, Writing – original draft, Writing – review & editing, Supervision. Abdul-Wahab Sami Ibrahim: Conceptualization, Formal analysis, Investigation, Resources, Writing – review & editing, Supervision.

Journal of Computational and Cognitive EngineeringVol. 4(4)
University of Basrah (IQ), Mustansiriyah University (IQ)
Openalex Percentile: Top 13%
Gaze Tracking and Assistive Technology
1.94
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