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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 02 | Feb 2024

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p-ISSN: 2395-0072

SURVEY PAPER ON VARIOUS EYE BLINK DETECTION SYSTEMS Anil C.B1, Ammu Vijayan2, Anjitha P.S3, Ann Mary George4, Baselios Paul5 Department of Computer Science and Engineering,Sree Narayana Gurukulam College Of Enginnering,Kadayiruppu,Ernakulam,Kerala,India ---------------------------------------------------------------------***--------------------------------------------------------------------ments in computer vision, image processing, and Abstract— This survey paper aims to provide a machine learning techniques. These systems play a compre- hensive overview of the state-of-the-art in eye blink detection systems, encompassing the pivotal role in numerous applications, such as methodologies, algorithms,datasets, and driver monitoring systems, fatigue detection, lie applications. By synthesizing the ex- isting literature, we detection, human-computer interaction, and even seek to shed light on the challenges and medical diagnostics. advancements in this field, offering insights into the various approaches employed for accurate and efficient eye blink detection. The provided project have many challenges be- cause the algorithms did not give correct re- sults. But time to time, several techniques are discovered for eye detection. In this survey paper, we describe and compare many techniques of eye blink detection through table. The purpose ofthis study is to provide a thorough resource for scholars, professionals, and hobbyists who are interested in learningabout the changing field landscape. Our aim is to stimulatefurther innovation in this field and develop a deeper under- standing of the importance of eye blink detection through acritical study of the material that has already been published.

Keywords: Face Detection, Blink Detection, Eye Region Extraction ,Haar Cascade, Image processing Electroocu- lography (EOG)

I. INTRODUCTION The human eye, with its intricate mechanism and dynamic movements, serves as a vital channel for nonverbal communication and interaction. The study of eye movements has gained significant attention in various fields, ranging from psychology and neuroscience to human-computer interaction (HCI) and biometrics. Among the myriad aspects of eye behav ior, the detection of eye blinks stands out as a crucial component due to its potential applications in diverse domains.

Impact Factor value: 8.226

[1] The authors Madhumantimaiti et.al (2020) has proposed an Innovative Prototype to Prevent Accidents Using Eye Blink Sensors and Accelerometer ADXL330.This paper mainly tells about the innovative prototype that utilizes eye blink sensors and the accelerometer ADXL330 to prevent accidents represents a promising advancement in safety technology. By integrating these sensors, the system aims to enhance real-time monitoring and response mechanisms, particularly in situations where driver attentiveness is crucial. Monitoring eye blink patterns can provide insights into the driver's level of alertness, enabling the system to issue timely alerts or interventions when signs of drowsiness are detected. This could significantly reduce the risk of accidents caused by driver fatigue, a common factor in road safety incidents. The applications of the same is it can be used avaiation,healthcare,industrial safety etc .This Technology is realiable and realworld applicable.The drawback of this technology is false positives or negatives ,industrial variability,calibration changes etc. [2] An Eye blink Detection system basically for Paralysed patients has been proposed by Milan Pandey et.al (2020) . The proposed system enables people with severe paralysis to communicate their thoughts and needs. It also helps patient to show their intellectual potential which can sometimes dispose their mental disability diagnosed by the doctor. The proposed patient provides a unique and

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