Browsing by Author "Isogawa, Mariko"

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    Learning-based Event-based Human Gaze Tracking with Blink Detection
    (The Eurographics Association, 2024) Kanno, Mao; Isogawa, Mariko; Hasegawa, Shoichi; Sakata, Nobuchika; Sundstedt, Veronica
    This paper proposes an eye-tracking system using a CNN-LSTM network that utilizes only event data. This method holds potential for future applications in a wide range of fields, including AR/VR headsets, healthcare, and sports. Compared to traditional frame-based camera methods, our proposed approach achieves high FPS and low power consumption by utilizing event cameras. To improve the estimation accuracy, our gaze estimation system incorporates a blink detection, which was absent in existing systems. Our results shows that our method achieves better performance compared to existing studies.