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- W4386184918 abstract "Gaze estimation is a valuable technology with numerous applications in fields such as human-computer interaction, virtual reality, and medicine. This report presents the implementation of a gaze estimation system using the Sony Spresense microcontroller board and explores its performance in latency, MAC/cycle, and power consumption. The report also provides insights into the system's architecture, including the gaze estimation model used. Additionally, a demonstration of the system is presented, showcasing its functionality and performance. Our lightweight model TinyTrackerS is a mere 169Kb in size, using 85.8k parameters and runs on the Spresense platform at 3 FPS." @default.
- W4386184918 created "2023-08-26" @default.
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- W4386184918 date "2023-08-23" @default.
- W4386184918 modified "2023-09-25" @default.
- W4386184918 title "Gaze Estimation on Spresense" @default.
- W4386184918 doi "https://doi.org/10.48550/arxiv.2308.12313" @default.
- W4386184918 hasPublicationYear "2023" @default.
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