“Tente Não Piscar”: A Blink Detection Game Using Computer Vision

• Juliana Aragão Pinto UEFS
• Victor Travessos Sarinho UEFS

DOI: https://doi.org/10.5753/sbgames_estendido.2023.233968

Abstract

This article presents the development of an interactive game titled “Try Not Blink” that utilizes computer vision for blink detection. Based on one of the world’s most traditional games, “Try not Blink” is designed to be played by two participants who position themselves in front of a camera and authorize its access through the browser. Players are challenged to avoid blinking for as long as possible to outlast their opponents. Through the TensorFlow.js library, the blinking activity is monitored in real time. This research demonstrates the potential of facial landmark detection techniques for playful applications.

Keywords: Digital Game, TensorFlow, Landmarks, Human-Computer Interface, Eye Blinking

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