This paper presents CUPIDO (Circuit for Unobtrusive Palpebral Interpretation and Detection Optimization), a mu W contactless eye blink detection system optimized for wearable applications. The core of CUPIDO is a miniaturized, high-impedance analog front-end and a low-power digital front-end designed to extract event-based features from electrostatic signals produced by the movements of eyelids. Therefore, CUPIDO behaves as a wake-up event-based trigger without requiring a dedicated Microcontroller Unit (MCU). As reported by preliminary in-field measurements, CUPIDO achieves ultra-low-power consumption (385.1 mu W of peak) and high sensitivity (up to 90.5%) in a fully contactless setup, enabling non-invasive eyelid movement and blink detection. With 1 ms latency, CUPIDO offers a low-power, real-time solution for eye blink monitoring and event-based triggering. This makes it ideal for Human-Machine Interface (HMI) applications, eye tracking, and attention monitoring applications.

CUPIDO: An Analog Ultra-Low-Power and Contactless Eye Blink Detector for Smart Glasses

Crafa, Daniele M.;Carminati, Marco;Magno, Michele
2025-01-01

Abstract

This paper presents CUPIDO (Circuit for Unobtrusive Palpebral Interpretation and Detection Optimization), a mu W contactless eye blink detection system optimized for wearable applications. The core of CUPIDO is a miniaturized, high-impedance analog front-end and a low-power digital front-end designed to extract event-based features from electrostatic signals produced by the movements of eyelids. Therefore, CUPIDO behaves as a wake-up event-based trigger without requiring a dedicated Microcontroller Unit (MCU). As reported by preliminary in-field measurements, CUPIDO achieves ultra-low-power consumption (385.1 mu W of peak) and high sensitivity (up to 90.5%) in a fully contactless setup, enabling non-invasive eyelid movement and blink detection. With 1 ms latency, CUPIDO offers a low-power, real-time solution for eye blink monitoring and event-based triggering. This makes it ideal for Human-Machine Interface (HMI) applications, eye tracking, and attention monitoring applications.
2025
2025 IEEE Sensors Applications Symposium (SAS)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1295871
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