E2GO : Free Your Hands for Smartphone Interaction

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Abstract

Current eye-gaze interaction technologies for smartphones are considered inflexible, inaccurate, and power-hungry. These methods typically rely on hand involvement and accomplish partial interactions. In this paper, we propose a novel eye-gaze smartphone interaction method named Event-driven Eye-Gaze Operation (E 2 GO), which can realize comprehensive interaction using only eyes and gazes to cover various interaction types. Before the interaction, an anti-jitter gaze estimation method was exploited to stabilize human eye fixation and predict accurate and stable human gaze positions on smartphone screens to further explore refined time-dependent eye-gaze interactions. We also integrated an event-triggering mechanism in E 2 GO to significantly decrease its power consumption to deploy on smartphones. We have implemented the prototype of E 2 GO on different brands of smartphones and conducted a comprehensive user study to validate its efficacy, demonstrating E 2 GO’s superior smartphone control capabilities across various scenarios.

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