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  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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Development of a Non-contact Input System Based on User's Gaze-Tracking and Analysis of Input Factors

인공지능연구 / Korean Journal of Artificial Intelligence, (E)2508-7894
2023, v.11 no.1, pp.9-15
https://doi.org/https://doi.org/10.24225/kjai.2023.11.1.9
Jiyoung LIM (Dept. of Computer Software, Korean Bible University)
Seonjae LEE (Dept. of Computer Software, Korean Bible University)
Junbeom KIM (Dept. of Computer Software, Korean Bible University)
Yunseo KIM (Dept. of Computer Software, Korean Bible University)
Hae-Duck Joshua JEONG (Dept. of Computer Software, Korean Bible University)
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Abstract

As mobile devices such as smartphones, tablets, and kiosks become increasingly prevalent, there is growing interest in developing alternative input systems in addition to traditional tools such as keyboards and mouses. Many people use their own bodies as a pointer to enter simple information on a mobile device. However, methods using the body have limitations due to psychological factors that make the contact method unstable, especially during a pandemic, and the risk of shoulder surfing attacks. To overcome these limitations, we propose a simple information input system that utilizes gaze-tracking technology to input passwords and control web surfing using only non-contact gaze. Our proposed system is designed to recognize information input when the user stares at a specific location on the screen in real-time, using intelligent gaze-tracking technology. We present an analysis of the relationship between the gaze input box, gaze time, and average input time, and report experimental results on the effects of varying the size of the gaze input box and gaze time required to achieve 100% accuracy in inputting information. Through this paper, we demonstrate the effectiveness of our system in mitigating the challenges of contact-based input methods, and providing a non-contact alternative that is both secure and convenient.

keywords
Eye-tracking, Intelligent gaze-tracking, Face Recognition, Gaze, Security, Non-contact input system

인공지능연구