The rapid evolution of smart eyewear technologies is opening new frontiers across various fields. Thanks to their proximity to highly vascularized facial areas and access to all five senses, smart glasses offer a unique opportunity to acquire key physiological and behavioral biomarkers, enabling health monitoring while preserving wearability. In particular, the proposed system targets cardiorespiratory parameters [such as heart rate (HR) and blood oxygen saturation] and activity monitoring (such as gait analysis and human activity recognition). This work presents the development of a multisensor platform able to acquire different biomedical signals, designed to be embedded into a regular eyewear prototype. This standalone system is powered by a 200-mAh, 3.7-V LiPo battery and comprises three printed circuit boards (PCBs) that integrate sensors for photoplethysmography, electrocardiography, inertial measurements, and capacitive sensing. The device also performs local data storage and wireless data transmission, allowing for flexible use in offline data collection as well as real-time communication with external systems. Two use cases are presented to demonstrate the device’s ability to continuously capture physiological signals for approximately 8 h and to extract health-related metrics in real time, validating its use for real-life applications in continuous health monitoring.
Multisensor Smart Eyewear for Biomarkers Acquisition
Crupi, Ilaria;Scandelli, Alice;Giudici, Andrea;Villa, Federica
2025-01-01
Abstract
The rapid evolution of smart eyewear technologies is opening new frontiers across various fields. Thanks to their proximity to highly vascularized facial areas and access to all five senses, smart glasses offer a unique opportunity to acquire key physiological and behavioral biomarkers, enabling health monitoring while preserving wearability. In particular, the proposed system targets cardiorespiratory parameters [such as heart rate (HR) and blood oxygen saturation] and activity monitoring (such as gait analysis and human activity recognition). This work presents the development of a multisensor platform able to acquire different biomedical signals, designed to be embedded into a regular eyewear prototype. This standalone system is powered by a 200-mAh, 3.7-V LiPo battery and comprises three printed circuit boards (PCBs) that integrate sensors for photoplethysmography, electrocardiography, inertial measurements, and capacitive sensing. The device also performs local data storage and wireless data transmission, allowing for flexible use in offline data collection as well as real-time communication with external systems. Two use cases are presented to demonstrate the device’s ability to continuously capture physiological signals for approximately 8 h and to extract health-related metrics in real time, validating its use for real-life applications in continuous health monitoring.| File | Dimensione | Formato | |
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