Smart eye-tracking system

Juhong, Aniwat; Treebupachatsakul, Treesukon; Pintavirooj, C.

doi:10.1109/iwait.2018.8369701

Cited by 17 publications

(8 citation statements)

References 2 publications

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“…The response will be used in computer-based sketch interaction in medical and robotic applications. However, the system only tracks the difference in response between the varying stimuli, leading to false stimuli distortion [1]. Punde et al worked on the eye-tracking mechanism for virtual reality applications.…”

Section: Related Workmentioning

confidence: 99%

“…Eye or pupil tracking is a method of following the direction and the interval distance (between one point to another) to acquire dynamic pupil details for research purposes [1]. Three antagonistic pairs of muscles control eye movements: the lateral and medial rectus muscles, the superior and inferior rectus muscles, and the superior and inferior oblique muscles.…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Eye Tracking Using Heat Maps

Krishnan

Jeyakumar²,

Raj³

2022

MJCS

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Communication in modern days has developed a lot, including wireless networks, Artificial Intelligence (AI) interaction, and human-computer interfaces. People with paralysis and immobile disorders face daily difficulties communicating with others and gadgets. Eye tracking has proven to promote accessible and accurate interaction compared to other complex automatic interactions. The project aims to develop an electronic eye blinker that integrates with the experimental setup to determine clinical pupil redundancy. The proposed solution comes up with an eye-tracking tool within an inbuilt laptop webcam that tracks the eye’s pupil in the given screen dimensions and generates heat maps on the tracked locations. These heat maps can denote a letter (in case of eye writing), an indication to click on that location (in case of gadget communication), or for blinking analysis. The proposed method achieves a perfect F-measure score of 0.998 to 1.000, which is comparatively more accurate and efficient than the existing technologies. The solution also provides an effective method to determine the eye's refractive error, which can replace the complex refractometers. Further, the spatially tracked coordinates obtained during the experiment can be used to analyze the patient’s blinking pattern, which, in turn, can detect retinal disorders and their progress during medication. One of the applications of the project is to integrate the derived model with a Brain-computer interface system to allow fast communications for the disabled.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real-Time Eye Tracking Using Heat Maps

Krishnan

Jeyakumar²,

Raj³

2022

MJCS

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“…The latest sensor technology and Hough transformation algorithm were used by Juhong et al [16] to design their eye-tracking system for physically challenged people using IoT. The algorithm developed was able to control a wheelchair using eye movements.…”

Section: Literature Surveymentioning

confidence: 99%

Eye Gaze-Based Student Readability Analysis

Patil

Das

Dhusia

et al. 2021

Algorithms for Intelligent Systems

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“…∑ Aniwat Juhong et al [1] proposed a smart eye tracking system which is maily designed for elderly people and for people with disabilities.…”

Section: A Smart Eye Tracking Systemmentioning

confidence: 99%

Real Time Eye Tracking for Password Authentication

Rahman¹

2020

ijarcs

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The Generality of today's authentication systems, including password , fingerprint scanners and Personal Identification Number(PIN) entry, are based on one time, static authentication methods which are prone to attacks. Real time eye tracking contributes significantly for Patients who are incapacitated, internet study , gaze based password entry as well as house hold security applications. The use of real time eye tracking and password authentication system has a wider possibility for reliability, but in this case the system must be secure and restrained for Eye Detection and Tracking. For the user's security and validation (authentication) personal identification numbers are used abroad thereby reducing the chances of being attacked. In static authentication methods , since the password has to be entered physically using PIN's there are possibilities for tracking the password using shoulder surfing, in order to avoid this spy game of tracking the password , hands off gaze-based PIN entry techniques are used. The smart camera is used to detect the eye position and for Gaze-based PIN Identification thereby doing the data processing. This project is focused on a real time hands off and gaze based PIN entry , detecting the eye position and tracking the eye movement using the smart camera.

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Smart eye-tracking system

Cited by 17 publications

References 2 publications

Real-Time Eye Tracking Using Heat Maps

Real-Time Eye Tracking Using Heat Maps

Eye Gaze-Based Student Readability Analysis

Real Time Eye Tracking for Password Authentication

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