Eye Gaze Controlled Virtual Keyboard

Author:

Abstract

Human Computer Interaction is an emerging technology which refers to a vast number of algorithms and different types of techniques to enhance the interaction process. Eye gaze technology is one of the most significant techniques of modern science and can be used in many areas like security, typing, information tracking etc. The need of the system for physically disable people motivated many researchers to develop systems which can be used only using the eye gaze and blinking. In this paper, we are going to represent the development of a virtual keyboard which work by detecting eye gaze and eye blinking. It involves building a system that capture video directly from PC camera and detects human face, eyes. To detect face accurately we will follow a simple rule as the eyes and lips are always in the sample place as image, which will make the eye detection process much easier. To do this we are going to use an approach that involves the 68 points of face which is specific and must exist in every face as- the eye area, top of the chin, eyebrow, nose, outside edge of face etc. It also detect eye gaze as left, right to select keyboard portion and eye blinking to select the desired key from the virtual keyboard on the board. The goal of this system is to type without using finger or hands. Such types of application are really important and blessings for those people who completely lost the control of their limbs. The methodology is described including flow-charts for each stage of the system and then implementation results has described.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Management of Technology and Innovation,General Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Road Safety: A System for Detecting Driver Activity Using Raspberry Pi and Computer Vision Techniques with Alcohol and Noise Sensors;Algorithms for Intelligent Systems;2024

2. Eye-to-Text Communication Based on Human-Computer Interface Method;2023 IEEE 13th International Conference on System Engineering and Technology (ICSET);2023-10-02

3. IoT-Based Smart Home Security and Automation System;Micro-Electronics and Telecommunication Engineering;2022

4. Analysis of Texture Feature Extraction Technique in Image Processing;Distributed Sensing and Intelligent Systems;2022

5. Eye-Gaze-Controlled Wheelchair System with Virtual Keyboard for Disabled Person Using Raspberry Pi;Machine Intelligence and Data Science Applications;2022

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