mlsanityData to 7 Oct 2026

Gaze Estimation on Spresense

arXiv 2308.12313 ↗First posted 23 Aug 2023cs.CV cs.HC cs.ROcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 2 of its 4 references that are in the map. First posted on arXiv 23 Aug 2023.

Builds on

2 of 4 references.

References · 2

  1. 2016Eye Tracking for Everyonecited by 155
  2. 2023TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimationcited by 16

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Citing papers per year: 2023: 1.

1 paper.