Robust real time eye tracking for computer interface for disabled people

2009 ◽  
Vol 96 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Alberto De Santis ◽  
Daniela Iacoviello
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Computer Interface ◽  
Disabled People

scholarly journals Development of an Eye Tracking-Based Human-Computer Interface for Real-Time Applications

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3630 ◽  
Author(s):  
Radu Gabriel Bozomitu ◽  
Alexandru Păsărică ◽  
Daniela Tărniceriu ◽  
Cristian Rotariu
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Detection Rate ◽  
Detection Algorithm ◽  
Computer Interface ◽  
Human Computer Interface ◽  
Detection Techniques ◽  
Scene Image ◽  
Real Time Applications ◽  
Circular Target

In this paper, the development of an eye-tracking-based human–computer interface for real-time applications is presented. To identify the most appropriate pupil detection algorithm for the proposed interface, we analyzed the performance of eight algorithms, six of which we developed based on the most representative pupil center detection techniques. The accuracy of each algorithm was evaluated for different eye images from four representative databases and for video eye images using a new testing protocol for a scene image. For all video recordings, we determined the detection rate within a circular target 50-pixel area placed in different positions in the scene image, cursor controllability and stability on the user screen, and running time. The experimental results for a set of 30 subjects show a detection rate over 84% at 50 pixels for all proposed algorithms, and the best result (91.39%) was obtained with the circular Hough transform approach. Finally, this algorithm was implemented in the proposed interface to develop an eye typing application based on a virtual keyboard. The mean typing speed of the subjects who tested the system was higher than 20 characters per minute.

scholarly journals Human Computer Interface for Wheelchair Movement

2017 ◽  
Vol 14 (2) ◽  
pp. 437-447
Author(s):  
Baghdad Science Journal
Keyword(s):  
Real Time ◽  
Physical Disability ◽  
Pulse Width Modulation ◽  
Fast Response ◽  
Computer Interface ◽  
Human Computer Interface ◽  
Human Face ◽  
Disabled People ◽  
The Disabled ◽  
Promising Solution

This paper aims to develop a technique for helping disabled people elderly with physical disability, such as those who are unable to move hands and cannot speak howover, by using a computer vision; real time video and interaction between human and computer where these combinations provide a promising solution to assist the disabled people. The main objective of the work is to design a project as a wheelchair which contains two wheel drives. This project is based on real time video for detecting and tracking human face. The proposed design is multi speed based on pulse width modulation(PWM), technique. This project is a fast response to detect and track face direction with four operations movement (left, right, forward and stop). These operations are based on a code written in MATLAB environment and Arduino IDE environment. The proposed system uses an ATmega328microcontroller (Arduino UNO board).

scholarly journals Real-time face & eye tracking and blink detection using event cameras

2021 ◽  
Author(s):  
Cian Ryan ◽  
Brian O’Sullivan ◽  
Amr Elrasad ◽  
Aisling Cahill ◽  
Joe Lemley ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Blink Detection

Real time vision-based hand gesture estimation for a human-computer interface

1997 ◽  
Vol 28 (7) ◽  
pp. 76-88 ◽  
Author(s):  
Koichi Ishibuchi ◽  
Keisuke Iwasaki ◽  
Haruo Takemura ◽  
Fumio Kishino
Keyword(s):  
Real Time ◽  
Computer Interface ◽  
Hand Gesture ◽  
Human Computer Interface

Metadata-driven eye tracking for real-time applications

2021 ◽  
Author(s):  
Yasith Jayawardana ◽  
Gavindya Jayawardena ◽  
Andrew T. Duchowski ◽  
Sampath Jayarathna
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Real Time Applications
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